Fundraising September 15, 2024 – October 1, 2024 About fundraising

A Second Course in Statistics: Regression Analysis

Main
Mathematics
A Second Course in Statistics:...

A Second Course in Statistics: Regression Analysis

William Mendenhall

0 / 0

How much do you like this book?

What’s the quality of the file?

Download the book for quality assessment

What’s the quality of the downloaded files?

download unavailable

Categories:

Year:

2011

Edition:

7th Edition

Publisher:

Prentice Hall

ISBN 10:

1140777777

ISBN 13:

9781140777779

ISBN:

8581140777776

File:

PDF, 14.95 MB

IPFS:

,

2011

This book isn't available for download due to the complaint of the copyright holder

Beware of he who would deny you access to information, for in his heart he dreams himself your master

— Pravin Lal

You may be interested in

Michael Kutner, Christopher Nachtsheim, John Neter, William Li — Applied Linear Statistical Models 5th Edition - Instructor's Solutions Manual

Scott Hartshorn — Linear Regression And Correlation: A Beginner’s Guide

Statistics Explained — Statistics Explained

Michael H Kutner, Christopher J. Nachtsheim, John Neter, William Li — Applied linear statistical models

Frederick Mosteller and John W. Tukey — Data Analysis and Regression: A Second Course in Statistics

Richard F. Gunst; R. F. Gunst; R. L. Mason — Regression Analysis and Its Application: A Data-Oriented Approach

John Neter William Wasserman Michael Kutner — Applied Linear Regression Models

Mendenhall W., Sincich T. — A Second Course in Statistics: Regression Analysis

1925-2009) Mendenhall, William, III (University of Florida, Riverside) Beaver, Robert (University of California, Emerita) Beaver, Barbara (University of California, Riverside — Introduction to Probability and Statistics Metric Edition

Peter H. Westfall, Andrea L. Arias — Understanding Regression Analysis: A Conditional Distribution Approach

John O. Rawlings, Sastry G. Pantula, David A. Dickey — Applied Regression Analysis: A Research Tool

Alan J. Izenman (auth.) — Modern multivariate statistical techniques: Regression, classification, and manifold learning

Ricardo A. Maronna, Douglas R. Martin, Victor J. Yohai — Robust Statistics: Theory and Methods

Yosef Cohen, Jeremiah Y. Cohen — Statistics and Data With R: An Applied Approach Through Examples

Takeaki Kariya, Hiroshi Kurata — Generalized Least Squares

Samprit Chatterjee, Jeffrey S. Simonoff(auth.) — Handbook of Regression Analysis

Angus E. Taylor, W. Robert Mann — Advanced calculus

Norman R. Draper, Harry Smith — Applied Regression Analysis, Third Edition

George A. F. Seber, Alan J. Lee — Linear Regression Analysis, 2nd edition (Wiley Series in Probability and Statistics)

K. Takezawa — Introduction to Nonparametric Regression

John Fox — Applied Regression Analysis and Generalized Linear Models

Douglas M. Bates, Donald G. Watts — Nonlinear regression analysis and its applications

Samprit Chatterjee, Ali S. Hadi — Sensitivity analysis in linear regression

R. J. Barlow — Statistics: a Guide to Use of Statistical Methods in the Physical Sciences

A. Erdelyi — Asymptotic expansions

Franklin A. Graybill, Hariharan K. Iyer — Regression Analysis: Concepts and Applications

Brett Myors, Kevin R. Murphy, Kevin Murphy, Allen Wolach — Statistical Power Analysis: A Simple and General Model for Traditional and Modern Hypothesis Tests, Third Edition

Milan Meloun, J Militky — Statistical Data Analysis: A Practical Guide

J. Michael Steele — Probability theory and combinatorial optimization

Sanford Weisberg — Applied Linear Regression

Ann G. Ryan, Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining — Solutions Manual to Accompany Introduction to Linear Regression Analysis

Bozeman, James R.; Skiadas, Christos — Data analysis and applications 1, Clustering and regression, modeling-estimating, forecasting and data mining

Leo Breiman — Classification and Regression Trees

Julian J. Faraway — Linear Models with Python

Jeremy Arkes — Regression Analysis: A Practical Introduction

Nancy L. Leech, Karen C. Barrett, George A. Morgan — IBM SPSS for Intermediate Statistics: Use and Interpretation, Fifth Edition

Peter Sprent, Nigel C. Smeeton — Applied Nonparametric Statistical Methods, Fourth Edition

Chakraborti, Subhabrata; Gibbons, Jean Dickinson — Nonparametric Statistical Inference, Fifth Edition

Richard B. Darlington PhD, Andrew F. Hayes PhD — Regression Analysis and Linear Models: Concepts, Applications, and Implementation

Brady T. West, Kathleen B. Welch, Andrzej T Galecki — Linear Mixed Models: A Practical Guide Using Statistical Software, Second Edition

Joseph M. Hilbe — Practical guide to logistic regression

William M. Mendenhall, Terry L. Sincich — Statistics for Engineering and the Sciences

Most frequently terms