07 اردیبهشت 1403
محمود افشاري

محمود افشاری

مرتبه علمی: دانشیار
نشانی: دانشکده مهندسی سیستم های هوشمند و علوم داده - گروه آمار
تحصیلات: دکترای تخصصی / آمار
تلفن: 07731223328
دانشکده: دانشکده مهندسی سیستم های هوشمند و علوم داده

مشخصات پژوهش

عنوان
موجک ها انقباضی برای مدل رگرسیون با طرح تصادفی و خطاهای همبسته
نوع پژوهش پارسا
کلیدواژه‌ها
Threshold wavelet, Correlated Error, Stochastic noise, random design, Gaussian distribution
پژوهشگران فاطمه تنگسیری (دانشجو) ، محمود افشاری (استاد راهنما) ، فضل الله لک (استاد مشاور)

چکیده

The estimation of a random design or a wave that has errors and disturbances is of particular importance in statistics and can be done in many ways.One of the methods for estimating the use of wavelets.A wavelet is a strong mathematical tool with high flexibility, which is constructed based on orthogonal bases.Considering independence or correlation between errors,The same and different time intervals examined There has been a lot of research on the correlations or uncoordinated observations. First, after briefly describing the space of functions, wavelet transforms and threshold wavelet, we will review the design of random experiments.In the following, we will describe the nonparametric estimation of the randomized design by the method of threshold wavelet in the form of multiplicity and theorem. In the end, we will examine the theory in practice by simulation and compare the optimal estimator with error types based on the mean squared error.