Search Results

Correlation and Regression

Download or Read eBook Correlation and Regression PDF written by Philip Bobko and published by SAGE Publications. This book was released on 2001-04-10 with total page 303 pages. Available in PDF, EPUB and Kindle.
Correlation and Regression
Author :
Publisher : SAGE Publications
Total Pages : 303
Release :
ISBN-10 : 9781506315959
ISBN-13 : 150631595X
Rating : 4/5 (59 Downloads)

Book Synopsis Correlation and Regression by : Philip Bobko

Book excerpt: ". . . the writing makes this book interesting to all levels of students. Bobko tackles tough issues in an easy way but provides references for more complex and complete treatment of the subject. . . . there is a familiarity and love of the material that radiates through the words." --Malcolm James Ree, ORGANIZATIONAL RESEARCH METHODS, April 2002 "This book provides one of the clearest treatments of correlations and regression of any statistics book I have seen. . . . Bobko has achieved his objective of making the topics of correlation and regression accessible to students. . . . For someone looking for a very clearly written treatment of applied correlation and regression, this book would be an excellent choice." --Paul E. Spector, University of South Florida "As a quantitative methods instructor, I have reviewed and used many statistical textbooks. This textbook and approach is one of the very best when it comes to user-friendliness, approachability, clarity, and practical utility." --Steven G. Rogelberg, Bowling Green State University Building on the classical examples in the first edition, this updated edition provides students with an accessible textbook on statistical theories in correlation and regression. Taking an applied approach, the author uses concrete examples to help the student thoroughly understand how statistical techniques work and how to creatively apply them based on specific circumstances they face in the "real world." The author uses a layered approach in each chapter, first offering the student an intuitive understanding of the problems or examples and progressing through to the underlying statistics. This layered approach and the applied examples provide students with the foundation and reasoning behind each technique, so they will be able to use their own judgement to effectively choose from the alternative data analytic options.


Correlation and Regression Related Books

Correlation and Regression
Language: en
Pages: 303
Authors: Philip Bobko
Categories: Business & Economics
Type: BOOK - Published: 2001-04-10 - Publisher: SAGE Publications

DOWNLOAD EBOOK

". . . the writing makes this book interesting to all levels of students. Bobko tackles tough issues in an easy way but provides references for more complex and
Text Book of Correlations and Regression
Language: en
Pages: 220
Authors: A.K. Sharma
Categories: Correlation (Statistics)
Type: BOOK - Published: 2005 - Publisher: Discovery Publishing House

DOWNLOAD EBOOK

This book Correlation and Regression is an outcome of authors long teaching experience of the subject. This book present a thorough treatment of what is require
Applying Regression and Correlation
Language: en
Pages: 266
Authors: Jeremy Miles
Categories: Mathematics
Type: BOOK - Published: 2001-03-08 - Publisher: SAGE

DOWNLOAD EBOOK

Takes a look at applying regression analysis in the behavioural sciences by introducing the reader to regression analysis through a simple model-building approa
Correlation and Regression Analysis
Language: en
Pages: 380
Authors: Thomas J. Archdeacon
Categories: History
Type: BOOK - Published: 1994 - Publisher: Univ of Wisconsin Press

DOWNLOAD EBOOK

A blueprint for historians to understand and evaluate the variables and discusses the fundamentals of regression analysis. 2 looks at procedures for assessing t
Machine Learning and Big Data
Language: en
Pages: 544
Authors: Uma N. Dulhare
Categories: Computers
Type: BOOK - Published: 2020-09-01 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

This book is intended for academic and industrial developers, exploring and developing applications in the area of big data and machine learning, including thos
Scroll to top