Bahram Sadeghpour Gildeh
Ferdowsi University of Mashhad
[ 1 ] - The effects of misclassification errors on multiple deferred state attribute sampling plan
Multiple deferred state (MDS) sampling plan by attribute in which current lot and future lots information is utilised on sentencing submitted lot, is constructed under the assumption of perfect inspection. But sometimes the inspection may not be free of inspection errors. In this paper, we develop MDS-plan by attribute to the state where misclassification errors exist during the inspection. In ...
[ 2 ] - مطالعه‌ی مقایسه‌ای شاخص‌های توزیع درامد استان خراسان جنوبی با کشور طی سال‌های ۱۳۸۴ تا ۱۳۹۳
چکیده: بحث فقر و عدالت اجتماعی از مهم‌ترین مباحث سیاسی و اقتصادی است. پدیده‌ی نابرابری درامد نه تنها از دلایل عمده‌ی فقر، بلکه یکی از عوامل کُندکننده‌ی رشد اقتصادی نیز محسوب می‌شود. از این‌رو بحث و قضاوت درباره‌ی چگونگی توزیع درامد در کنار گسترش مدل‌های رشد اقتصادی، اهمیت دارد. یکی از معمول‌ترین ابزارهای اندازه‌گیری نابرابری توزیع درامد، منحنی لورنتس است. هدف اصلی این مقاله انجام بررسی‌های آماری...
[ 3 ] - استنباط پیشگو ناپارامتری فازی بهینه برای طرح نمونه‌گیری جهت پذیرش یک مرحله‌ای
Acceptance sampling is one of the main parts of the statistical quality control. It is primarily used for the inspection of incoming or outgoing lots. Acceptance sampling procedures can be used in an acceptance control program to reach better quality with lower expenses, improvement of the control and the increase of efficiency. The aims of this paper, studying acceptance sampling based on non-...
[ 4 ] - Fuzzy Double Variable Sampling Plan under Uncertainty
Double sampling plan is an examination with a certain parameter, so it cannot decide about manufactured products whose portion parameter ( ) is not certain. The main goal of this survey is to introduce double variable plan when is indefinite to examine manufacturing products when concerned characteristics are normally distributed. Plan parameters are achieved by an optimization manner. Sum of ...
[ 5 ] - Comparing the Results of Logistic Regression Model and Classification and Regression Tree Analysis in Determining Prognostic Factors for Coronary Artery Disease in Mashhad, Iran
Background and purpose: Understanding of the risk factors for cardiovascular artery disease, which is the leading cause of death worldwide, can lead to essential changes in its etiology, prevalence, and treatment. The aim of this study was to compare the results of logistic regression model and Classification and Regression Tree Analysis (CART) in determining the prognostic factors for coronary...