{"id":28955,"date":"2024-03-10T08:08:55","date_gmt":"2024-03-10T09:08:55","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/%d9%85%d9%82%d8%a7%d9%84%d9%87-%d8%b1%d9%88%d8%b4%d9%87%d8%a7%db%8c-%d8%a2%d9%85%d8%a7%d8%b1%db%8c-%da%a9%d9%84%d8%a7%d8%b3%db%8c%da%a9-%d9%88-%d8%a8%db%8c%d8%b2%db%8c-%d8%a8%d8%b1%d8%a7\/"},"modified":"2024-03-10T08:08:56","modified_gmt":"2024-03-10T09:08:56","slug":"%d9%85%d9%82%d8%a7%d9%84%d9%87-%d8%b1%d9%88%d8%b4%d9%87%d8%a7%db%8c-%d8%a2%d9%85%d8%a7%d8%b1%db%8c-%da%a9%d9%84%d8%a7%d8%b3%db%8c%da%a9-%d9%88-%d8%a8%db%8c%d8%b2%db%8c-%d8%a8%d8%b1%d8%a7","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/%d9%85%d9%82%d8%a7%d9%84%d9%87-%d8%b1%d9%88%d8%b4%d9%87%d8%a7%db%8c-%d8%a2%d9%85%d8%a7%d8%b1%db%8c-%da%a9%d9%84%d8%a7%d8%b3%db%8c%da%a9-%d9%88-%d8%a8%db%8c%d8%b2%db%8c-%d8%a8%d8%b1%d8%a7\/","title":{"rendered":"\u0645\u0642\u0627\u0644\u0647 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u0622\u0645\u0627\u0631\u06cc \u06a9\u0644\u0627\u0633\u06cc\u06a9 \u0648 \u0628\u06cc\u0632\u06cc \u0628\u0631\u0627\u06cc \u0627\u0646\u062f\u0627\u0632\u0647\u200c\u0634\u0646\u0627\u0633\u06cc \u0633\u0637\u062d \u067e\u0627\u06cc\u06cc\u0646"},"content":{"rendered":"<table class=\"table table-striped table-hover\">\n<tbody>\n<tr>\n<td>\u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc <\/td>\n<td>Classical and Bayesian statistical methods for low-level metrology<\/td>\n<\/tr>\n<tr>\n<td>\u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc <\/td>\n<td>\u0645\u0642\u0627\u0644\u0647 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u0622\u0645\u0627\u0631\u06cc \u06a9\u0644\u0627\u0633\u06cc\u06a9 \u0648 \u0628\u06cc\u0632\u06cc \u0628\u0631\u0627\u06cc \u0627\u0646\u062f\u0627\u0632\u0647\u200c\u0634\u0646\u0627\u0633\u06cc \u0633\u0637\u062d \u067e\u0627\u06cc\u06cc\u0646<\/td>\n<\/tr>\n<tr>\n<td>\u0646\u0648\u06cc\u0633\u0646\u062f\u06af\u0627\u0646 <\/td>\n<td>Guillaume Manificat<\/td>\n<\/tr>\n<tr>\n<td>\u0632\u0628\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 <\/td>\n<td>\u0627\u0646\u06af\u0644\u06cc\u0633\u06cc<\/td>\n<\/tr>\n<tr>\n<td>\u0641\u0631\u0645\u062a \u0645\u0642\u0627\u0644\u0647: <\/td>\n<td>PDF<\/td>\n<\/tr>\n<tr>\n<td>\u062a\u0639\u062f\u0627\u062f \u0635\u0641\u062d\u0627\u062a<\/td>\n<td>83<\/td>\n<\/tr>\n<tr>\n<td>\u062f\u0633\u062a\u0647 \u0628\u0646\u062f\u06cc \u0645\u0648\u0636\u0648\u0639\u0627\u062a  <\/td>\n<td>Instrumentation and Detectors,Applications,\u0627\u0628\u0632\u0627\u0631 \u062f\u0642\u06cc\u0642 \u0648 \u0622\u0634\u06a9\u0627\u0631\u0633\u0627\u0632\u0647\u0627 , \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627 ,<\/td>\n<\/tr>\n<tr>\n<td>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a    <\/td>\n<td>Submitted 1 March, 2024; originally announced March 2024.<\/td>\n<\/tr>\n<tr>\n<td>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc    <\/td>\n<td>\u0627\u0631\u0633\u0627\u0644 1 \u0645\u0627\u0631\u0633 2024 \u061b\u062f\u0631 \u0627\u0628\u062a\u062f\u0627 \u0645\u0627\u0631\u0633 2024 \u0627\u0639\u0644\u0627\u0645 \u0634\u062f.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u0686\u06a9\u06cc\u062f\u0647<\/h2>\n<p style=\"direction:ltr;\">This document presents the statistical methods used to process low-level measurements in the presence of noise. These methods can be classical or Bayesian. The question is placed in the general framework of the problem of nuisance parameters, one of the canonical problems of statistical inference. By using a simple criterion proposed by Bolstad (2007), it is possible to define statistically significant results during a measurement process (act of measuring in the vocabulary of metrology). This result is similar for a classic paradigm (called &#8220;frequentist&#8221;) or Bayesian: the presence of zero in the interval considered (confidence or credibility). It is shown that in the case of homoskedastic Gaussians, the commonly used results are found. The case of Poisson distributions is then considered. In the case of heteroscedastic Gaussians, which is that of radioactivity measurement, we can consider them as Poisson laws in the limit of large counts. The results are different from those commonly used, and in particular those from standards (ISO 11929). Their statistical performances, characterized by simulation, are better and are well verified experimentally. This is confirmed theoretically by the use of the Neyman-Pearson lemma which makes it possible to formally determine the statistical tests with the best performances. These results also make it possible to understand the paradox of the possible divergence of the detection limit. It is also formally shown that the confidence intervals thus calculated by getting rid of the nuisance parameter according to established methods result in the commonly used confidence interval. To our knowledge, this constitutes the first formal derivation of these confidence intervals. This method is based on keeping the measurement results whether they are significant or not (not censoring them). This is recommended in several standards or documents, is compatible with the ISO 11929 standard and is in line with recent proposals in the field of statistics. On the other hand, all the information necessary to determine whether a measurement result is significant or not remains available. The conservation and restitution of all results is currently applied in the USA. The textbook case of the WIPP incident makes it possible to ensure favorable public perception. The implications and applications of this method in different fields are finally discussed.<\/p>\n<h2>\u0686\u06a9\u06cc\u062f\u0647 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc (\u062a\u0631\u062c\u0645\u0647 \u0645\u0627\u0634\u06cc\u0646\u06cc)<\/h2>\n<p>\u0627\u06cc\u0646 \u0633\u0646\u062f \u0631\u0648\u0634\u0647\u0627\u06cc \u0622\u0645\u0627\u0631\u06cc \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0628\u0631\u0627\u06cc \u067e\u0631\u062f\u0627\u0632\u0634 \u0627\u0646\u062f\u0627\u0632\u0647 \u06af\u06cc\u0631\u06cc \u0647\u0627\u06cc \u0633\u0637\u062d \u067e\u0627\u06cc\u06cc\u0646 \u062f\u0631 \u062d\u0636\u0648\u0631 \u0646\u0648\u06cc\u0632 \u0631\u0627 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u062f\u0647\u062f.\u0627\u06cc\u0646 \u0631\u0648\u0634\u0647\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u0646\u062f \u06a9\u0644\u0627\u0633\u06cc\u06a9 \u06cc\u0627 \u0628\u06cc\u0632\u06cc \u0628\u0627\u0634\u0646\u062f.\u0627\u06cc\u0646 \u0633\u0624\u0627\u0644 \u062f\u0631 \u0686\u0627\u0631\u0686\u0648\u0628 \u06a9\u0644\u06cc \u0645\u0633\u0626\u0644\u0647 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc \u0645\u0632\u0627\u062d\u0645\u062a \u060c \u06cc\u06a9\u06cc \u0627\u0632 \u0645\u0634\u06a9\u0644\u0627\u062a \u0645\u062a\u0639\u0627\u0631\u0641 \u0627\u0633\u062a\u0646\u0628\u0627\u0637 \u0622\u0645\u0627\u0631\u06cc \u0642\u0631\u0627\u0631 \u062f\u0627\u0631\u062f.\u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06cc\u06a9 \u0645\u0639\u06cc\u0627\u0631 \u0633\u0627\u062f\u0647 \u06a9\u0647 \u062a\u0648\u0633\u0637 \u0628\u0648\u0644\u0633\u062a\u0627\u062f (2007) \u067e\u06cc\u0634\u0646\u0647\u0627\u062f \u0634\u062f\u0647 \u0627\u0633\u062a \u060c \u0645\u06cc \u062a\u0648\u0627\u0646 \u0646\u062a\u0627\u06cc\u062c \u0622\u0645\u0627\u0631\u06cc \u0645\u0639\u0646\u06cc \u062f\u0627\u0631\u06cc \u0631\u0627 \u062f\u0631 \u0637\u06cc \u06cc\u06a9 \u0641\u0631\u0622\u06cc\u0646\u062f \u0627\u0646\u062f\u0627\u0632\u0647 \u06af\u06cc\u0631\u06cc (\u0639\u0645\u0644 \u0627\u0646\u062f\u0627\u0632\u0647 \u06af\u06cc\u0631\u06cc \u062f\u0631 \u0648\u0627\u0698\u06af\u0627\u0646 \u0627\u0646\u062f\u0627\u0632\u0647 \u06af\u06cc\u0631\u06cc) \u062a\u0639\u0631\u06cc\u0641 \u06a9\u0631\u062f.\u0627\u06cc\u0646 \u0646\u062a\u06cc\u062c\u0647 \u0628\u0631\u0627\u06cc \u06cc\u06a9 \u0627\u0644\u06af\u0648\u06cc \u06a9\u0644\u0627\u0633\u06cc\u06a9 (\u0628\u0647 \u0646\u0627\u0645 &#8220;\u0645\u06a9\u0631\u0631&#8221;) \u06cc\u0627 \u0628\u06cc\u0632\u06cc \u0645\u0634\u0627\u0628\u0647 \u0627\u0633\u062a: \u062d\u0636\u0648\u0631 \u0635\u0641\u0631 \u062f\u0631 \u0628\u0627\u0632\u0647 \u062f\u0631 \u0646\u0638\u0631 \u06af\u0631\u0641\u062a\u0647 \u0634\u062f\u0647 (\u0627\u0639\u062a\u0645\u0627\u062f \u0628\u0647 \u0646\u0641\u0633 \u06cc\u0627 \u0627\u0639\u062a\u0628\u0627\u0631).\u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a \u06a9\u0647 \u062f\u0631 \u0645\u0648\u0631\u062f Gaussians Homoskedastic \u060c \u0646\u062a\u0627\u06cc\u062c \u0645\u062a\u062f\u0627\u0648\u0644 \u06cc\u0627\u0641\u062a \u0645\u06cc \u0634\u0648\u062f.\u0633\u067e\u0633 \u067e\u0631\u0648\u0646\u062f\u0647 \u062a\u0648\u0632\u06cc\u0639 \u067e\u0648\u0627\u0633\u0648\u0646 \u062f\u0631 \u0646\u0638\u0631 \u06af\u0631\u0641\u062a\u0647 \u0645\u06cc \u0634\u0648\u062f.\u062f\u0631 \u0645\u0648\u0631\u062f \u06af\u0627\u0648\u0633\u06cc \u0647\u0627\u06cc \u0646\u0627\u0647\u0645\u06af\u0646 \u060c \u06a9\u0647 \u0627\u0646\u062f\u0627\u0632\u0647 \u06af\u06cc\u0631\u06cc \u0631\u0627\u062f\u06cc\u0648\u0627\u06a9\u062a\u06cc\u0648\u06cc\u062a\u0647 \u0627\u0633\u062a \u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0622\u0646\u0647\u0627 \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0642\u0648\u0627\u0646\u06cc\u0646 \u067e\u0648\u0627\u0633\u0648\u0646 \u062f\u0631 \u062d\u062f \u0634\u0645\u0627\u0631\u0634 \u0628\u0632\u0631\u06af \u062f\u0631 \u0646\u0638\u0631 \u0628\u06af\u06cc\u0631\u06cc\u0645.\u0646\u062a\u0627\u06cc\u062c \u0628\u0627 \u0646\u062a\u0627\u06cc\u062c \u0645\u062a\u062f\u0627\u0648\u0644 \u0648 \u0628\u0647 \u0648\u06cc\u0698\u0647 \u0646\u062a\u0627\u06cc\u062c \u0627\u0632 \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f\u0647\u0627 \u0645\u062a\u0641\u0627\u0648\u062a \u0627\u0633\u062a (ISO 11929).\u0639\u0645\u0644\u06a9\u0631\u062f\u0647\u0627\u06cc \u0622\u0645\u0627\u0631\u06cc \u0622\u0646\u0647\u0627 \u060c \u06a9\u0647 \u0628\u0627 \u0634\u0628\u06cc\u0647 \u0633\u0627\u0632\u06cc \u0645\u0634\u062e\u0635 \u0645\u06cc \u0634\u0648\u0646\u062f \u060c \u0628\u0647\u062a\u0631 \u0647\u0633\u062a\u0646\u062f \u0648 \u0628\u0647 \u062e\u0648\u0628\u06cc \u0628\u0647 \u0635\u0648\u0631\u062a \u062a\u062c\u0631\u0628\u06cc \u062a\u0623\u06cc\u06cc\u062f \u0645\u06cc \u0634\u0648\u0646\u062f.\u0627\u06cc\u0646 \u0627\u0645\u0631 \u0628\u0647 \u0635\u0648\u0631\u062a \u062a\u0626\u0648\u0631\u06cc \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Neyman-Pearson Lemma \u062a\u0623\u06cc\u06cc\u062f \u0645\u06cc \u0634\u0648\u062f \u06a9\u0647 \u0627\u0645\u06a9\u0627\u0646 \u062a\u0639\u06cc\u06cc\u0646 \u062a\u0633\u062a \u0647\u0627\u06cc \u0622\u0645\u0627\u0631\u06cc \u0631\u0627 \u0628\u0627 \u0628\u0647\u062a\u0631\u06cc\u0646 \u0627\u062c\u0631\u0627\u0647\u0627 \u0627\u0645\u06a9\u0627\u0646 \u067e\u0630\u06cc\u0631 \u0645\u06cc \u06a9\u0646\u062f.\u0627\u06cc\u0646 \u0646\u062a\u0627\u06cc\u062c \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646 \u067e\u0627\u0631\u0627\u062f\u0648\u06a9\u0633 \u0627\u0632 \u0648\u0627\u06af\u0631\u0627\u06cc\u06cc \u0627\u062d\u062a\u0645\u0627\u0644\u06cc \u062d\u062f \u062a\u0634\u062e\u06cc\u0635 \u0631\u0627 \u062f\u0631\u06a9 \u06a9\u0631\u062f.\u0647\u0645\u0686\u0646\u06cc\u0646 \u0628\u0647 \u0637\u0648\u0631 \u0631\u0633\u0645\u06cc \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a \u06a9\u0647 \u0641\u0648\u0627\u0635\u0644 \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u0628\u0647 \u0627\u06cc\u0646 \u062a\u0631\u062a\u06cc\u0628 \u0628\u0627 \u062e\u0644\u0627\u0635 \u0634\u062f\u0646 \u0627\u0632 \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0645\u0632\u0627\u062d\u0645\u062a \u0628\u0627 \u062a\u0648\u062c\u0647 \u0628\u0647 \u0631\u0648\u0634\u0647\u0627\u06cc \u062a\u0639\u06cc\u06cc\u0646 \u0634\u062f\u0647 \u0645\u062d\u0627\u0633\u0628\u0647 \u0645\u06cc \u0634\u0648\u062f \u0648 \u0645\u0646\u062c\u0631 \u0628\u0647 \u0641\u0627\u0635\u0644\u0647 \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u0645\u062a\u062f\u0627\u0648\u0644 \u0645\u06cc \u0634\u0648\u062f.\u0628\u0647 \u062f\u0627\u0646\u0634 \u0645\u0627 \u060c \u0627\u06cc\u0646 \u0627\u0648\u0644\u06cc\u0646 \u0645\u0634\u062a\u0642 \u0631\u0633\u0645\u06cc \u0627\u06cc\u0646 \u0641\u0648\u0627\u0635\u0644 \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u0627\u0633\u062a.\u0627\u06cc\u0646 \u0631\u0648\u0634 \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u062d\u0641\u0638 \u0646\u062a\u0627\u06cc\u062c \u0627\u0646\u062f\u0627\u0632\u0647 \u06af\u06cc\u0631\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0622\u06cc\u0627 \u0622\u0646\u0647\u0627 \u0642\u0627\u0628\u0644 \u062a\u0648\u062c\u0647 \u0647\u0633\u062a\u0646\u062f \u06cc\u0627 \u0646\u0647 (\u0633\u0627\u0646\u0633\u0648\u0631 \u0646\u0645\u06cc \u0634\u0648\u0646\u062f).\u0627\u06cc\u0646 \u062f\u0631 \u0686\u0646\u062f\u06cc\u0646 \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f \u06cc\u0627 \u0627\u0633\u0646\u0627\u062f \u062a\u0648\u0635\u06cc\u0647 \u0645\u06cc \u0634\u0648\u062f \u060c \u0628\u0627 \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f ISO 11929 \u0633\u0627\u0632\u06af\u0627\u0631 \u0627\u0633\u062a \u0648 \u0645\u0637\u0627\u0628\u0642 \u0628\u0627 \u067e\u06cc\u0634\u0646\u0647\u0627\u062f\u0627\u062a \u0627\u062e\u06cc\u0631 \u062f\u0631 \u0632\u0645\u06cc\u0646\u0647 \u0622\u0645\u0627\u0631 \u0627\u0633\u062a.\u0627\u0632 \u0637\u0631\u0641 \u062f\u06cc\u06af\u0631 \u060c \u062a\u0645\u0627\u0645 \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u062a\u0639\u06cc\u06cc\u0646 \u0627\u06cc\u0646\u06a9\u0647 \u0622\u06cc\u0627 \u0646\u062a\u06cc\u062c\u0647 \u0627\u0646\u062f\u0627\u0632\u0647 \u06af\u06cc\u0631\u06cc \u0642\u0627\u0628\u0644 \u062a\u0648\u062c\u0647 \u0627\u0633\u062a \u06cc\u0627 \u062e\u06cc\u0631 \u060c \u062f\u0631 \u062f\u0633\u062a\u0631\u0633 \u0627\u0633\u062a.\u062d\u0641\u0627\u0638\u062a \u0648 \u0628\u0627\u0632\u06af\u0631\u062f\u0627\u0646\u062f\u0646 \u0647\u0645\u0647 \u0646\u062a\u0627\u06cc\u062c \u062f\u0631 \u062d\u0627\u0644 \u062d\u0627\u0636\u0631 \u062f\u0631 \u0627\u06cc\u0627\u0644\u0627\u062a \u0645\u062a\u062d\u062f\u0647 \u0627\u0639\u0645\u0627\u0644 \u0645\u06cc \u0634\u0648\u062f.\u067e\u0631\u0648\u0646\u062f\u0647 \u06a9\u062a\u0627\u0628 \u062f\u0631\u0633\u06cc \u062d\u0627\u062f\u062b\u0647 WIPP \u0627\u0645\u06a9\u0627\u0646 \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u0627\u0632 \u062f\u0631\u06a9 \u0639\u0645\u0648\u0645\u06cc \u0645\u0637\u0644\u0648\u0628 \u0631\u0627 \u0641\u0631\u0627\u0647\u0645 \u0645\u06cc \u06a9\u0646\u062f.\u062f\u0631 \u0646\u0647\u0627\u06cc\u062a \u067e\u06cc\u0627\u0645\u062f\u0647\u0627 \u0648 \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u0627\u06cc\u0646 \u0631\u0648\u0634 \u062f\u0631 \u0632\u0645\u06cc\u0646\u0647 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0628\u062d\u062b \u0634\u062f\u0647 \u0627\u0633\u062a.<\/p>\n<table class=\"table table-bordered table-primary\">\r\n<tr>\r\n\t<td>\r\n\t\u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0632\u0628\u0627\u0646 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc \u0627\u0633\u062a.\r\n\t<\/td>\r\n<\/tr>\r\n\t\r\n<tr>\r\n\t<td>\r\n     \u0628\u0631\u0627\u06cc \u0633\u0641\u0627\u0631\u0634 \u062a\u0631\u062c\u0645\u0647 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0628\u0647 \u06cc\u06a9\u06cc \u0627\u0632 \u0631\u0648\u0634 \u0647\u0627\u06cc \u062a\u0645\u0627\u0633\u060c \u067e\u06cc\u0627\u0645\u06a9\u060c \u062a\u0644\u06af\u0631\u0627\u0645 \u0648 \u06cc\u0627 \u0648\u0627\u062a\u0633 \u0627\u067e \u0628\u0627 \u0634\u0645\u0627\u0631\u0647 \u0632\u06cc\u0631 \u062a\u0645\u0627\u0633 \u0628\u06af\u06cc\u0631\u06cc\u062f:\r\n\t<br \/><br \/>\r\n\t09395106248\r\n\t\t\r\n\t\t\r\n\t<br \/><br \/>\r\n\t\t\u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u0634\u0631\u0627\u06cc\u0637 \u062a\u0631\u062c\u0645\u0647 \u0628\u0647 \u0635\u0648\u0631\u062a \u0632\u06cc\u0631 \u0627\u0633\u062a:\r\n\t\t<br \/>\r\n\t\t<ul>\r\n\t\t<li>\r\n\t\t\u0642\u06cc\u0645\u062a \u0647\u0631 \u0635\u0641\u062d\u0647 \u062a\u0631\u062c\u0645\u0647 \u062f\u0631 \u062d\u0627\u0644 \u062d\u0627\u0636\u0631 40 \u0647\u0632\u0627\u0631 \u062a\u0648\u0645\u0627\u0646 \u0645\u06cc \u0628\u0627\u0634\u062f. \r\n\t\t<\/li>\r\n\t\t<li>\r\n\t\t\u062a\u062d\u0648\u06cc\u0644 \u0645\u0642\u0627\u0644\u0647 \u062a\u0631\u062c\u0645\u0647 \u0634\u062f\u0647 \u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u0648\u0631\u062f \u0645\u06cc \u0628\u0627\u0634\u062f.\r\n\t\t<\/li>\r\n\t\t<li>\r\n\t\t\u0632\u0645\u0627\u0646 \u062a\u062d\u0648\u06cc\u0644 \u062a\u0631\u062c\u0645\u0647 \u0645\u0642\u0627\u0644\u0647 \u062f\u0631 \u0635\u0648\u0631\u062a \u062f\u0627\u0634\u062a\u0646 \u062a\u0639\u062f\u0627\u062f \u0635\u0641\u062d\u0627\u062a \u0639\u0627\u062f\u06cc \u0628\u06cc\u0646 3 \u062a\u0627 5 \u0631\u0648\u0632 \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f.\r\n\t\t<\/li>\r\n\t\t\r\n\t\t<li>\r\n\t\t\u06a9\u06cc\u0641\u06cc\u062a \u062a\u0631\u062c\u0645\u0647 \u0628\u0633\u06cc\u0627\u0631 \u0628\u0627\u0644\u0627 \u0645\u06cc \u0628\u0627\u0634\u062f. \u0645\u0642\u0627\u0644\u0647 \u0641\u0642\u0637 \u062a\u0648\u0633\u0637 \u0645\u062a\u0631\u062c\u0645\u06cc\u0646 \u0628\u0627 \u0645\u062f\u0631\u06a9 \u062f\u0627\u0646\u0634\u06af\u0627\u0647\u06cc \u0645\u062a\u0631\u062c\u0645\u06cc \u062a\u0631\u062c\u0645\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f.\r\n\t\t<\/li>\r\n\t\t<li>\r\n\t\t\u06a9\u0644\u06cc\u0647 \u062c\u062f\u0627\u0648\u0644 \u0648 \u0641\u0631\u0645\u0648\u0644 \u0647\u0627 \u0646\u06cc\u0632 \u062f\u0631 \u0641\u0627\u06cc\u0644 \u062a\u062d\u0648\u06cc\u0644\u06cc \u0648\u0631\u062f \u062f\u0631\u062c \u0645\u06cc\u200c\u0634\u0648\u0646\u062f.\r\n\t\t<\/li>\r\n\t<\/td>\r\n\t\r\n\t\r\n<\/tr>\r\n<\/table>\r\n\r\n\r\n\n","protected":false},"excerpt":{"rendered":"<p>\u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc Classical and Bayesian statistical methods for low-level metrology \u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc \u0645\u0642\u0627\u0644\u0647 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u0622\u0645\u0627\u0631\u06cc \u06a9\u0644\u0627\u0633\u06cc\u06a9 [&hellip;]<\/p>\n","protected":false},"featured_media":27,"comment_status":"open","ping_status":"closed","template":"","meta":{"pmpro_default_level":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}}},"product_cat":[15,21],"product_tag":[352,697,706,353],"class_list":{"0":"post-28955","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-15","7":"product_cat-21","8":"product_tag-applications","9":"product_tag-instrumentation-and-detectors","10":"product_tag-706","11":"product_tag-353","12":"pmpro-has-access","13":"desktop-align-left","14":"tablet-align-left","15":"mobile-align-left","17":"first","18":"instock","19":"shipping-taxable","20":"purchasable","21":"product-type-variable"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u0645\u0642\u0627\u0644\u0647 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u0622\u0645\u0627\u0631\u06cc \u06a9\u0644\u0627\u0633\u06cc\u06a9 \u0648 \u0628\u06cc\u0632\u06cc \u0628\u0631\u0627\u06cc \u0627\u0646\u062f\u0627\u0632\u0647\u200c\u0634\u0646\u0627\u0633\u06cc \u0633\u0637\u062d \u067e\u0627\u06cc\u06cc\u0646 - \u0641\u0631\u0648\u0634\u06af\u0627\u0647 \u0627\u06a9\u0633\u067e\u0631\u0633<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/express24.ir\/d\/product\/\u0645\u0642\u0627\u0644\u0647-\u0631\u0648\u0634\u0647\u0627\u06cc-\u0622\u0645\u0627\u0631\u06cc-\u06a9\u0644\u0627\u0633\u06cc\u06a9-\u0648-\u0628\u06cc\u0632\u06cc-\u0628\u0631\u0627\/\" \/>\n<meta property=\"og:locale\" content=\"fa_IR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u0645\u0642\u0627\u0644\u0647 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u0622\u0645\u0627\u0631\u06cc \u06a9\u0644\u0627\u0633\u06cc\u06a9 \u0648 \u0628\u06cc\u0632\u06cc \u0628\u0631\u0627\u06cc \u0627\u0646\u062f\u0627\u0632\u0647\u200c\u0634\u0646\u0627\u0633\u06cc \u0633\u0637\u062d \u067e\u0627\u06cc\u06cc\u0646 - \u0641\u0631\u0648\u0634\u06af\u0627\u0647 \u0627\u06a9\u0633\u067e\u0631\u0633\" \/>\n<meta property=\"og:description\" content=\"\u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc Classical and Bayesian statistical methods for low-level metrology \u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc \u0645\u0642\u0627\u0644\u0647 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u0622\u0645\u0627\u0631\u06cc \u06a9\u0644\u0627\u0633\u06cc\u06a9 [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/express24.ir\/d\/product\/\u0645\u0642\u0627\u0644\u0647-\u0631\u0648\u0634\u0647\u0627\u06cc-\u0622\u0645\u0627\u0631\u06cc-\u06a9\u0644\u0627\u0633\u06cc\u06a9-\u0648-\u0628\u06cc\u0632\u06cc-\u0628\u0631\u0627\/\" \/>\n<meta property=\"og:site_name\" content=\"\u0641\u0631\u0648\u0634\u06af\u0627\u0647 \u0627\u06a9\u0633\u067e\u0631\u0633\" \/>\n<meta property=\"article:modified_time\" content=\"2024-03-10T09:08:56+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/express24.ir\/d\/wp-content\/uploads\/2024\/02\/Elsevier_logo_2019.svg_.png\" \/>\n\t<meta property=\"og:image:width\" content=\"440\" \/>\n\t<meta property=\"og:image:height\" content=\"486\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u0632\u0645\u0627\u0646 \u062a\u0642\u0631\u06cc\u0628\u06cc \u0628\u0631\u0627\u06cc \u062e\u0648\u0627\u0646\u062f\u0646\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 \u062f\u0642\u06cc\u0642\u0647\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/express24.ir\/d\/product\/%d9%85%d9%82%d8%a7%d9%84%d9%87-%d8%b1%d9%88%d8%b4%d9%87%d8%a7%db%8c-%d8%a2%d9%85%d8%a7%d8%b1%db%8c-%da%a9%d9%84%d8%a7%d8%b3%db%8c%da%a9-%d9%88-%d8%a8%db%8c%d8%b2%db%8c-%d8%a8%d8%b1%d8%a7\/\",\"url\":\"https:\/\/express24.ir\/d\/product\/%d9%85%d9%82%d8%a7%d9%84%d9%87-%d8%b1%d9%88%d8%b4%d9%87%d8%a7%db%8c-%d8%a2%d9%85%d8%a7%d8%b1%db%8c-%da%a9%d9%84%d8%a7%d8%b3%db%8c%da%a9-%d9%88-%d8%a8%db%8c%d8%b2%db%8c-%d8%a8%d8%b1%d8%a7\/\",\"name\":\"\u0645\u0642\u0627\u0644\u0647 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u0622\u0645\u0627\u0631\u06cc \u06a9\u0644\u0627\u0633\u06cc\u06a9 \u0648 \u0628\u06cc\u0632\u06cc \u0628\u0631\u0627\u06cc \u0627\u0646\u062f\u0627\u0632\u0647\u200c\u0634\u0646\u0627\u0633\u06cc \u0633\u0637\u062d \u067e\u0627\u06cc\u06cc\u0646 - \u0641\u0631\u0648\u0634\u06af\u0627\u0647 \u0627\u06a9\u0633\u067e\u0631\u0633\",\"isPartOf\":{\"@id\":\"https:\/\/express24.ir\/d\/#website\"},\"datePublished\":\"2024-03-10T09:08:55+00:00\",\"dateModified\":\"2024-03-10T09:08:56+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/express24.ir\/d\/product\/%d9%85%d9%82%d8%a7%d9%84%d9%87-%d8%b1%d9%88%d8%b4%d9%87%d8%a7%db%8c-%d8%a2%d9%85%d8%a7%d8%b1%db%8c-%da%a9%d9%84%d8%a7%d8%b3%db%8c%da%a9-%d9%88-%d8%a8%db%8c%d8%b2%db%8c-%d8%a8%d8%b1%d8%a7\/#breadcrumb\"},\"inLanguage\":\"fa-IR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/express24.ir\/d\/product\/%d9%85%d9%82%d8%a7%d9%84%d9%87-%d8%b1%d9%88%d8%b4%d9%87%d8%a7%db%8c-%d8%a2%d9%85%d8%a7%d8%b1%db%8c-%da%a9%d9%84%d8%a7%d8%b3%db%8c%da%a9-%d9%88-%d8%a8%db%8c%d8%b2%db%8c-%d8%a8%d8%b1%d8%a7\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/express24.ir\/d\/product\/%d9%85%d9%82%d8%a7%d9%84%d9%87-%d8%b1%d9%88%d8%b4%d9%87%d8%a7%db%8c-%d8%a2%d9%85%d8%a7%d8%b1%db%8c-%da%a9%d9%84%d8%a7%d8%b3%db%8c%da%a9-%d9%88-%d8%a8%db%8c%d8%b2%db%8c-%d8%a8%d8%b1%d8%a7\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\u062e\u0627\u0646\u0647\",\"item\":\"https:\/\/express24.ir\/d\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"\u0641\u0631\u0648\u0634\u06af\u0627\u0647\",\"item\":\"https:\/\/express24.ir\/d\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"\u0645\u0642\u0627\u0644\u0647 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u0622\u0645\u0627\u0631\u06cc \u06a9\u0644\u0627\u0633\u06cc\u06a9 \u0648 \u0628\u06cc\u0632\u06cc \u0628\u0631\u0627\u06cc \u0627\u0646\u062f\u0627\u0632\u0647\u200c\u0634\u0646\u0627\u0633\u06cc \u0633\u0637\u062d \u067e\u0627\u06cc\u06cc\u0646\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/express24.ir\/d\/#website\",\"url\":\"https:\/\/express24.ir\/d\/\",\"name\":\"\u0641\u0631\u0648\u0634\u06af\u0627\u0647 \u0627\u06a9\u0633\u067e\u0631\u0633\",\"description\":\"\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/express24.ir\/d\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"fa-IR\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"\u0645\u0642\u0627\u0644\u0647 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u0622\u0645\u0627\u0631\u06cc \u06a9\u0644\u0627\u0633\u06cc\u06a9 \u0648 \u0628\u06cc\u0632\u06cc \u0628\u0631\u0627\u06cc \u0627\u0646\u062f\u0627\u0632\u0647\u200c\u0634\u0646\u0627\u0633\u06cc \u0633\u0637\u062d \u067e\u0627\u06cc\u06cc\u0646 - \u0641\u0631\u0648\u0634\u06af\u0627\u0647 \u0627\u06a9\u0633\u067e\u0631\u0633","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/express24.ir\/d\/product\/\u0645\u0642\u0627\u0644\u0647-\u0631\u0648\u0634\u0647\u0627\u06cc-\u0622\u0645\u0627\u0631\u06cc-\u06a9\u0644\u0627\u0633\u06cc\u06a9-\u0648-\u0628\u06cc\u0632\u06cc-\u0628\u0631\u0627\/","og_locale":"fa_IR","og_type":"article","og_title":"\u0645\u0642\u0627\u0644\u0647 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u0622\u0645\u0627\u0631\u06cc \u06a9\u0644\u0627\u0633\u06cc\u06a9 \u0648 \u0628\u06cc\u0632\u06cc \u0628\u0631\u0627\u06cc \u0627\u0646\u062f\u0627\u0632\u0647\u200c\u0634\u0646\u0627\u0633\u06cc \u0633\u0637\u062d \u067e\u0627\u06cc\u06cc\u0646 - \u0641\u0631\u0648\u0634\u06af\u0627\u0647 \u0627\u06a9\u0633\u067e\u0631\u0633","og_description":"\u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc Classical and Bayesian statistical methods for low-level metrology \u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc \u0645\u0642\u0627\u0644\u0647 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u0622\u0645\u0627\u0631\u06cc \u06a9\u0644\u0627\u0633\u06cc\u06a9 [&hellip;]","og_url":"https:\/\/express24.ir\/d\/product\/\u0645\u0642\u0627\u0644\u0647-\u0631\u0648\u0634\u0647\u0627\u06cc-\u0622\u0645\u0627\u0631\u06cc-\u06a9\u0644\u0627\u0633\u06cc\u06a9-\u0648-\u0628\u06cc\u0632\u06cc-\u0628\u0631\u0627\/","og_site_name":"\u0641\u0631\u0648\u0634\u06af\u0627\u0647 \u0627\u06a9\u0633\u067e\u0631\u0633","article_modified_time":"2024-03-10T09:08:56+00:00","og_image":[{"width":440,"height":486,"url":"https:\/\/express24.ir\/d\/wp-content\/uploads\/2024\/02\/Elsevier_logo_2019.svg_.png","type":"image\/png"}],"twitter_card":"summary_large_image","twitter_misc":{"\u0632\u0645\u0627\u0646 \u062a\u0642\u0631\u06cc\u0628\u06cc \u0628\u0631\u0627\u06cc \u062e\u0648\u0627\u0646\u062f\u0646":"2 \u062f\u0642\u06cc\u0642\u0647"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/express24.ir\/d\/product\/%d9%85%d9%82%d8%a7%d9%84%d9%87-%d8%b1%d9%88%d8%b4%d9%87%d8%a7%db%8c-%d8%a2%d9%85%d8%a7%d8%b1%db%8c-%da%a9%d9%84%d8%a7%d8%b3%db%8c%da%a9-%d9%88-%d8%a8%db%8c%d8%b2%db%8c-%d8%a8%d8%b1%d8%a7\/","url":"https:\/\/express24.ir\/d\/product\/%d9%85%d9%82%d8%a7%d9%84%d9%87-%d8%b1%d9%88%d8%b4%d9%87%d8%a7%db%8c-%d8%a2%d9%85%d8%a7%d8%b1%db%8c-%da%a9%d9%84%d8%a7%d8%b3%db%8c%da%a9-%d9%88-%d8%a8%db%8c%d8%b2%db%8c-%d8%a8%d8%b1%d8%a7\/","name":"\u0645\u0642\u0627\u0644\u0647 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u0622\u0645\u0627\u0631\u06cc \u06a9\u0644\u0627\u0633\u06cc\u06a9 \u0648 \u0628\u06cc\u0632\u06cc \u0628\u0631\u0627\u06cc \u0627\u0646\u062f\u0627\u0632\u0647\u200c\u0634\u0646\u0627\u0633\u06cc \u0633\u0637\u062d \u067e\u0627\u06cc\u06cc\u0646 - \u0641\u0631\u0648\u0634\u06af\u0627\u0647 \u0627\u06a9\u0633\u067e\u0631\u0633","isPartOf":{"@id":"https:\/\/express24.ir\/d\/#website"},"datePublished":"2024-03-10T09:08:55+00:00","dateModified":"2024-03-10T09:08:56+00:00","breadcrumb":{"@id":"https:\/\/express24.ir\/d\/product\/%d9%85%d9%82%d8%a7%d9%84%d9%87-%d8%b1%d9%88%d8%b4%d9%87%d8%a7%db%8c-%d8%a2%d9%85%d8%a7%d8%b1%db%8c-%da%a9%d9%84%d8%a7%d8%b3%db%8c%da%a9-%d9%88-%d8%a8%db%8c%d8%b2%db%8c-%d8%a8%d8%b1%d8%a7\/#breadcrumb"},"inLanguage":"fa-IR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/express24.ir\/d\/product\/%d9%85%d9%82%d8%a7%d9%84%d9%87-%d8%b1%d9%88%d8%b4%d9%87%d8%a7%db%8c-%d8%a2%d9%85%d8%a7%d8%b1%db%8c-%da%a9%d9%84%d8%a7%d8%b3%db%8c%da%a9-%d9%88-%d8%a8%db%8c%d8%b2%db%8c-%d8%a8%d8%b1%d8%a7\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/express24.ir\/d\/product\/%d9%85%d9%82%d8%a7%d9%84%d9%87-%d8%b1%d9%88%d8%b4%d9%87%d8%a7%db%8c-%d8%a2%d9%85%d8%a7%d8%b1%db%8c-%da%a9%d9%84%d8%a7%d8%b3%db%8c%da%a9-%d9%88-%d8%a8%db%8c%d8%b2%db%8c-%d8%a8%d8%b1%d8%a7\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"\u062e\u0627\u0646\u0647","item":"https:\/\/express24.ir\/d\/"},{"@type":"ListItem","position":2,"name":"\u0641\u0631\u0648\u0634\u06af\u0627\u0647","item":"https:\/\/express24.ir\/d\/"},{"@type":"ListItem","position":3,"name":"\u0645\u0642\u0627\u0644\u0647 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u0622\u0645\u0627\u0631\u06cc \u06a9\u0644\u0627\u0633\u06cc\u06a9 \u0648 \u0628\u06cc\u0632\u06cc \u0628\u0631\u0627\u06cc \u0627\u0646\u062f\u0627\u0632\u0647\u200c\u0634\u0646\u0627\u0633\u06cc \u0633\u0637\u062d \u067e\u0627\u06cc\u06cc\u0646"}]},{"@type":"WebSite","@id":"https:\/\/express24.ir\/d\/#website","url":"https:\/\/express24.ir\/d\/","name":"\u0641\u0631\u0648\u0634\u06af\u0627\u0647 \u0627\u06a9\u0633\u067e\u0631\u0633","description":"","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/express24.ir\/d\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"fa-IR"}]}},"_links":{"self":[{"href":"https:\/\/express24.ir\/d\/wp-json\/wp\/v2\/product\/28955","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/express24.ir\/d\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/express24.ir\/d\/wp-json\/wp\/v2\/types\/product"}],"replies":[{"embeddable":true,"href":"https:\/\/express24.ir\/d\/wp-json\/wp\/v2\/comments?post=28955"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/express24.ir\/d\/wp-json\/wp\/v2\/media\/27"}],"wp:attachment":[{"href":"https:\/\/express24.ir\/d\/wp-json\/wp\/v2\/media?parent=28955"}],"wp:term":[{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/express24.ir\/d\/wp-json\/wp\/v2\/product_cat?post=28955"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/express24.ir\/d\/wp-json\/wp\/v2\/product_tag?post=28955"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}