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Most popular at the top

  • Rankings and the Reshaping of Higher Educationby Professor Ellen Hazelkorn

    Palgrave Macmillan Ltd. 2011; US$ 85.00

    University rankings have gained popularity around the world, and are now a significant factor shaping reputation. This book is the first comprehensive study of rankings from a global perspective, making an important contribution to our understanding of the rankings phenomenon. more...

  • Understanding Databy David Griffiths; W. Douglas Stirling; K. L. Weldon

    John Wiley & Sons Australia, Ltd 1998; US$ 28.45

    Aiming to provide the concepts and tools to analyze data intelligently, the early chapters in this work emphasize collection, display, examination, summary and presentation of data. Inference is reserved for later chapters when students should be familiar with data structures and data variability. more...

  • Basic Statistics for Social Researchby Duncan Cramer

    Routledge 1996; US$ 39.95

    Invaluable introduction to statistics using the Minitab program. It assumes no prior knowledge of statistics or computing and explains when to apply and how to apply and calculate a range of statistical proceedures used by social scientists. more...

  • Introduction to Survey Qualityby Paul P. Biemer; Lars E. Lyberg

    John Wiley & Sons, Inc. 2003; US$ 146.00

    Peruse the history of survey research and the essential concepts for data quality. With an emphasis on total survey error, the authors review principles and concepts in the field and examine important unresolved issues in survey methods. Spanning a range of topics dealing with the quality of data collected through the survey process, they focus on such key issues as: Major sources of survey error, examining the origins of each error source most successful methods for reducing errors from those sources Methods most often used in practice for evaluating the effects of the source on total survey error Implications of improving survey quality for organizational management and costs more...

  • Essentials of Statistics for the Social and Behavioral Sciencesby Barry H. Cohen; R. Brooke Lea

    John Wiley & Sons, Inc. 2004; US$ 38.95

    Master the essential statistical skills used in social and behavioral sciences Essentials of Statistics for the Social and Behavioral Sciences distills the overwhelming amount of material covered in introductory statistics courses into a handy, practical resource for students and professionals. This accessible guide covers basic to advanced concepts in a clear, concrete, and readable style. Essentials of Statistics for the Social and Behavioral Sciences guides you to a better understanding of basic concepts of statistical methods. Numerous practical tips are presented for selecting appropriate statistical procedures. In addition, this useful guide demonstrates how to evaluate and interpret statistical data, provides numerous formulas for... more...

  • Foundations of Risk Analysisby Terje Aven

    John Wiley & Sons, Ltd. 2004; US$ 90.00

    Everyday we face decisions that carry an element of risk and uncertainty. The ability to analyse, communicate and control the level of risk entailed by these decisions remains one of the most pressing challenges to the analyst, scientist and manager. This book presents the foundational issues in risk analysis - expressing risk, understanding what risk means, building risk models, addressing uncertainty, and applying probability models to real problems. The principal aim of the book is to give the reader the knowledge and basic thinking they require to approach risk and uncertainty to support decision making. * Presents a statistical framework for dealing with risk and uncertainty. * Includes detailed coverage of building and applying risk models... more...

  • Generalized, Linear, and Mixed Modelsby Charles E. McCulloch; Shayle R. Searle

    John Wiley & Sons, Inc. 2004; US$ 143.50

    Wiley Series in Probability and Statistics A modern perspective on mixed models The availability of powerful computing methods in recent decades has thrust linear and nonlinear mixed models into the mainstream of statistical application. This volume offers a modern perspective on generalized, linear, and mixed models, presenting a unified and accessible treatment of the newest statistical methods for analyzing correlated, nonnormally distributed data. As a follow-up to Searle's classic, Linear Models, and Variance Components by Searle, Casella, and McCulloch, this new work progresses from the basic one-way classification to generalized linear mixed models. A variety of statistical methods are explained and illustrated, with an emphasis on maximum... more...

  • New Developments in Categorical Data Analysis for the Social and Behavioral Sciencesby L. Andries van der Ark

    Lawrence Erlbaum Associates 2005; US$ 85.00

    A collection of studies on modern categorical data analysis methods, emphasizing their application to relevant and interesting datasets. A prominent breakthrough in categorical data analysis is the development and use of latent variable models. more...

  • Small Area Estimationby J. N. K. Rao

    John Wiley & Sons, Inc. 2005; US$ 164.00

    An accessible introduction to indirect estimation methods, both traditional and model-based. Readers will also find the latest methods for measuring the variability of the estimates as well as the techniques for model validation. Uses a basic area-level linear model to illustrate the methods Presents the various extensions including binary response data through generalized linear models and time series data through linear models that combine cross-sectional and time series features Provides recent applications of SAE including several in U.S. Federal programs Offers a comprehensive discussion of the design issues that impact SAE more...

  • Techniques in Event History Modelingby Hans-Peter Blossfeld

    Lawrence Erlbaum Associates 2002; US$ 47.50

    This work gives an account of event history modelling techniques and their use in applied research in economics and the social sciences. It shows that event history modelling is a major step forward in casual analysis, and introduces the reader to the program Transition Data Analysis (TDA). more...