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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. Quantitative Methods and Socio-Economic Applications in GIS, Second Edition

    By Fahui Wang

    The second edition of a bestseller, this book details applications of quantitative methods in social science, planning, and public policy with a focus on spatial perspectives. Updated to include the most recent version of ArcGIS 10.1, the new edition also covers recent developments in GIS—for...

    To Be Published December 16th 2014 by CRC Press

  2. Handbook of Mixed Membership Models and Their Applications

    Edited by Edoardo M. Airoldi, David Blei, Elena A. Erosheva, Stephen E. Fienberg

    Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

    Unlike classical mixture models that are limited by the assumption that each object or individual belongs to only one mixture component, mixed membership models handle various data structures and multivariate data of mixed types, including longitudinal, sparse, and relational data structures. A...

    To Be Published December 22nd 2014 by Chapman and Hall/CRC

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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