Synopsis "Regression Analysis: Wiley Publication in Applied Statistics (in English)"
Regression Analysis: Wiley Publication In Applied Statistics by Evan James Williams is a comprehensive guide to regression analysis, a statistical technique used to model the relationship between a dependent variable and one or more independent variables. The book covers both linear and nonlinear regression models, including multiple regression, logistic regression, and time series regression. It also provides an in-depth discussion of the assumptions and limitations of regression analysis, as well as techniques for model selection, hypothesis testing, and interpretation of results. The book is written for students and professionals in the fields of statistics, economics, social sciences, and business who are interested in using regression analysis to analyze data and make predictions. It includes numerous examples and exercises to help readers understand the concepts and apply them to real-world problems. Overall, Regression Analysis is a valuable resource for anyone seeking to master this powerful statistical tool.This scarce antiquarian book is a facsimile reprint of the old original and may contain some imperfections such as library marks and notations. Because we believe this work is culturally important, we have made it available as part of our commitment for protecting, preserving, and promoting the world's literature in affordable, high quality, modern editions, that are true to their original work.
