Bayes Signification Tests in Linear Regression and Economic Applications

Linear Regression and Its Applications

where we extended x to (x0 = 1, x1, x2, . . . , xk). Finding the best parameters w is then referred to as linear regression problem, whereas all other types of relationship between the features and the target fall into a category of nonlinear regression. In either situation, the regression problem can be presented as a probabilistic modeling approach that reduces to parameter estimation; i.e. t...

economic optimization and energy consumption in tray dryers

دراین پروژه به بررسی مدل سازی خشک کردن مواد غذایی با استفاده از هوای خشک در خشک کن آزمایشگاهی نوع سینی دار پرداخته شده است. برای آنالیز انتقال رطوبت در طی خشک شدن به طریق جابجایی، یک مدل لایه نازک برای انتقال رطوبت، مبتنی بر معادله نفوذ فیک در نظر گفته شده است که شامل انتقال همزمان جرم و انرژی بین فاز جامد و گاز می باشد. پروفایل دما و رطوبت برای سه نوع ماده غذایی شامل سیب زمینی، سیب و موز در طی...

Economic Dispatch Fuzzy Linear Regression and Optimization

This study presents a new approach based on Tanaka's fuzzy linear regression (FLP) algorithm to solve well-known power system economic load dispatch problem (ELD). Tanaka's fuzzy linear regression (FLP) formulation will be employed to compute the optimal solution of optimization problem after linearization. The unknowns are expressed as fuzzy numbers with a triangular membership function that h...

Bootstrap Tests of Nonnested Linear Regression

Validating Variational Bayes Linear Regression Method With Multi-Central Datasets

Hiroshi Murata, Linda M. Zangwill, Yuri Fujino, Masato Matsuura, Atsuya Miki, Kazunori Hirasawa, Masaki Tanito, Shiro Mizoue, Kazuhiko Mori, Katsuyoshi Suzuki, Takehiro Yamashita, Kenji Kashiwagi, Nobuyuki Shoji, and Ryo Asaoka Department of Ophthalmology, University of Tokyo Graduate School of Medicine, Tokyo, Japan Shiley Eye Institute Hamilton Glaucoma Center, University of California, San D...