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Regression Analysis and Multivariate Statistics Books

You are currently browsing 1–10 of 99 new and published books in the subject of Regression Analysis and Multivariate Statistics — sorted by publish date from newer books to older books.

For books that are not yet published; please browse forthcoming books.

New and Published Books – Page 1

  1. Statistical Studies of Income, Poverty and Inequality in Europe

    Computing and Graphics in R using EU-SILC

    By Nicholas T. Longford

    Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

    There is no shortage of incentives to study and reduce poverty in our societies. Poverty is studied in economics and political sciences, and population surveys are an important source of information about it. The design and analysis of such surveys is principally a statistical subject matter and...

    Published July 7th 2014 by Chapman and Hall/CRC

  2. Modern Survey Sampling

    By Arijit Chaudhuri

    Starting from the preliminaries through live examples, the author tells the story about what a sample intends to communicate to a reader about the unknowable aggregate in a real situation. The story develops its own logic and a motivation for the reader to put up with, herein follows. Various...

    Published June 23rd 2014 by Chapman and Hall/CRC

  3. Multilevel Modeling Using R

    By W. Holmes Finch, Jocelyn E. Bolin, Ken Kelley

    Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

    A powerful tool for analyzing nested designs in a variety of fields, multilevel/hierarchical modeling allows researchers to account for data collected at multiple levels. Multilevel Modeling Using R provides you with a helpful guide to conducting multilevel data modeling using the R software...

    Published June 13th 2014 by CRC Press

  4. Introduction to Multivariate Analysis

    Linear and Nonlinear Modeling

    By Sadanori Konishi

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Select the Optimal Model for Interpreting Multivariate Data Introduction to Multivariate Analysis: Linear and Nonlinear Modeling shows how multivariate analysis is widely used for extracting useful information and patterns from multivariate data and for understanding the structure of random...

    Published June 6th 2014 by Chapman and Hall/CRC

  5. Computerized Multistage Testing

    Theory and Applications

    Edited by Duanli Yan, Alina A. von Davier, Charles Lewis

    Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

    Devising tests that evaluate a nation’s educational standing and implement efficacious educational reforms requires a careful balance among the contributions of technology, psychometrics, test design, and the learning sciences. Unlike other forms of adaptive testing, multistage testing (MST) is...

    Published May 7th 2014 by Chapman and Hall/CRC

  6. A Gentle Introduction to Stata, Fourth Edition

    By Alan C. Acock

    A Gentle Introduction to Stata, Fourth Edition is for people who need to learn Stata but who may not have a strong background in statistics or prior experience with statistical software packages. After working through this book, you will be able to enter, build, and manage a dataset, and perform...

    Published April 18th 2014 by Stata Press

  7. Visualization and Verbalization of Data

    Edited by Jorg Blasius, Michael Greenacre

    Series: Chapman & Hall/CRC Computer Science & Data Analysis

    Visualization and Verbalization of Data shows how correspondence analysis and related techniques enable the display of data in graphical form, which results in the verbalization of the structures in data. Renowned researchers in the field trace the history of these techniques and cover their...

    Published April 10th 2014 by Chapman and Hall/CRC

  8. Growth Curve Analysis and Visualization Using R

    By Daniel Mirman

    Series: Chapman & Hall/CRC The R Series

    Learn How to Use Growth Curve Analysis with Your Time Course Data An increasingly prominent statistical tool in the behavioral sciences, multilevel regression offers a statistical framework for analyzing longitudinal or time course data. It also provides a way to quantify and analyze individual...

    Published February 24th 2014 by Chapman and Hall/CRC

  9. The Essence of Multivariate Thinking

    Basic Themes and Methods, 2nd Edition

    By Lisa L. Harlow

    Series: Multivariate Applications Series

    By focusing on underlying themes, this book helps readers better understand the connections between multivariate methods. For each method the author highlights: the similarities and differences between the methods, when they are used and the questions they address, the key assumptions and...

    Published January 13th 2014 by Routledge

  10. Essentials of Multivariate Data Analysis

    By Neil H. Spencer

    Since most datasets contain a number of variables, multivariate methods are helpful in answering a variety of research questions. Accessible to students and researchers without a substantial background in statistics or mathematics, Essentials of Multivariate Data Analysis explains the usefulness of...

    Published December 17th 2013 by Chapman and Hall/CRC