سه شنبه 15 فروردین 1396
نویسنده: Terry Vanderhoof
Introduction to Linear Regression Analysis by Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining
Introduction to Linear Regression Analysis Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining ebook
Publisher: Wiley, John & Sons, Incorporated
Praise for the Fourth Edition“As with previous editions, the authors have produced a leading textbook on regression.” —Journal of the American Statistical Association. I have introduced linear regression, polynomial regression and principal component analysis, but this is only the tip of the iceberg. Linear regression gives the false impression that the fit will always be a linear function, which is true, but only in the relationship between the input data and the output data. And yes that is the basic model. This book is suitable for graduate students who are either majoring in statistics/biostatistics or using linear regression analysis substantially in their subject fields. The first part (Part I) of the course concentrates on the linear regression model and the principles of statistical inference and asymptotic theory in econometrics. Download Introduction to Linear Regression Analysis. In part 1 of this series we introduced the topic of employing linear regression models to predict sales for a hypothetical company. Introduction to Linear Regression Analysis. Therefore, we usually use this equation to define linear regression: Where the function . Prerequisites: Introduction to Econometrics (KA7). Introduction to Linear Regression Analysis by Douglas C. Linear regression can be a fast and powerful tool to model complex phenomena. In part 2 we introduced the data and using RapidMiner generated a linear regression model. In this post, I will introduce some diagnostics that you can perform to ensure that your regression does not violate these basic assumptions. I am not sure that I am really clear, that is why I am giving to the introduction to the video of linear regression.