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Forthcoming Regression Analysis and Multivariate Statistics Books

You are currently browsing 11–20 of 27 forthcoming new books in the subject of Regression Analysis and Multivariate Statistics — sorted by publish date from upcoming books to future books.

For books that are already published; please browse available books.

Forthcoming Books – Page 2

  1. Multiple Regression and Beyond

    An Introduction to Multiple Regression and Structural Equation Modeling, 2nd Edition

    By Timothy Keith

    Multiple Regression and Beyond offers a conceptually oriented introduction to multiple regression (MR) analysis and structural equation modeling (SEM), along with analyses that flow naturally from those methods. By focusing on the concepts and purposes of MR and related methods, rather than the...

    To Be Published January 14th 2015 by Routledge

  2. A Practical Guide to Age-Period Cohort Analysis Using R

    The Identification Problem and Beyond

    By Wenjiang Fu

    A popular and efficient tool to analyze grouped data of a certain event, APC analysis is used in a range of application areas, including public health, social science, demography, and economics. This book first describes the basic graphic presentation and modeling of APC data using R. Taking a more...

    To Be Published March 14th 2015 by Chapman and Hall/CRC

  3. Mathematics and Archaeology

    Edited by Juan A. Barcelo, Igor Bogdanovic

    Although many archaeologists have a good understanding of the basics in computer science, statistics, geostatistics, modeling, and data mining, more literature is needed about the advanced analysis in these areas. This book aids archaeologists in learning more advanced tools and methods while also...

    To Be Published March 14th 2015 by CRC Press

  4. Mixture Model-Based Classification

    By Paul David McNicholas

    This work addresses classification using mixture models broadly. Unlike traditional treatments of the subject that heavily focus on unsupervised approaches, this book gives attention to unsupervised, semi-supervised, and supervised classification paradigms. Case studies illustrate both non-Gaussian...

    To Be Published May 14th 2015 by Chapman and Hall/CRC

  5. Handling Missing Data in Social Research

    By Scott M. Lynch, J. Scott Brown

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

    For social scientists, it is often confusing how to determine when missing data is a problem in analyses and how to handle it. This book presents a comprehensive overview of the available methods, focusing on which method should be used for specific problems. It features numerous real and simulated...

    To Be Published June 14th 2015 by Chapman and Hall/CRC

  6. Spatial Analysis Methods of Road Traffic Crashes

    By Becky PY Loo, Tessa Anderson

    An interdisciplinary account of the spatial analytical approaches to road traffic crashes, this book draws on the computational advances of GIS to discuss the economic, social, and scientific importance of road safety measures and traffic management. It begins with an examination of the...

    To Be Published June 14th 2015 by CRC Press

  7. Multi-State Survival Models for Interval-Censored Data

    By Ardo van den Hout

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    Multi-state models describe stochastic processes that consist of transitions between states over time, such as the three-state illness-death model. Interval-censored data is extremely common as the exact time of transition from one state to another is unknown—only an interval of time is known. This...

    To Be Published June 14th 2015 by Chapman and Hall/CRC

  8. Missing Data Analysis in Practice

    By Trivellore Raghunathan

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    This book focuses on two general purpose approaches to data analysis that work well in practice: weighting and imputation. The book takes a very practical approach to the methods, with a number of datasets used to illustrate the key aspects. The datasets are taken from randomized trials,...

    To Be Published June 25th 2015 by Chapman and Hall/CRC