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Statistics; Graphic methods

Most popular at the top

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

    John Wiley & Sons, Inc. 2003; US$ 139.00

    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...

  • Regression With Social Databy Alfred DeMaris

    John Wiley & Sons, Inc. 2004; US$ 150.00

    An accessible introduction to the use of regression analysis in the social sciences Regression with Social Data: Modeling Continuous and Limited Response Variables represents the most complete and fully integrated coverage of regression modeling currently available for graduate-level behavioral science students and practitioners. Covering techniques that span the full spectrum of levels of measurement for both continuous and limited response variables, and using examples taken from such disciplines as sociology, psychology, political science, and public health, the author succeeds in demystifying an academically rigorous subject and making it accessible to a wider audience. Content includes coverage of: Logit, probit, scobit, truncated,... more...

  • Modeling Performance Measurementby Wade D. Cook; Joe Zhu

    Springer 2005; US$ 129.00

    DEA (Data Envelopment Analysis) if a subfield of economics that compares the best ideal producer of a given good or service with one or more actual producers. "If the virtual [ideal] producer is better than the original producer by either making more output with the same input or making the same output with less input then the original producer is inefficient. Some of the subtleties of DEA are introduced in the various ways that producers A and B can be scaled up or down and combined." (From the Portland State University website). more...

  • Applied Multiple Regression/Correlation Analysis for the Behavioral Sciencesby Jacob Cohen; Patricia Cohen; Stephen G. West; Leona S. Aiken

    Lawrence Erlbaum Associates 2002; US$ 75.00

    This classic text on multiple regression is noted for its nonmathematical, applied, and data-analytic approach. Readers profit from its verbal-conceptual exposition and frequent use of examples. The applied emphasis provides clear illustrations of the principles and provides worked examples of the types of applications that are possible. Researchers learn how to specify regression models that directly address their research questions. An overview of the fundamental ideas of multiple regression and a review of bivariate correlation and regression and other elementary statistical concepts provide a strong foundation for understanding the rest of the text. The third edition features an increased emphasis on graphics and the use of confidence intervals... more...

  • Introduction to Data Envelopment Analysis and Its Usesby William W. Cooper; Lawrence M. Seiford; Kaoru Tone

    Springer 2006; US$ 109.00

    Designed to provide a systematic introduction to DEA and its uses as a multifaceted tool for evaluating problems in a variety of contexts. This volume reviews the basic principles taught in the authors' successful textbook, "Data Envelopment Analysis." This package includes the book in a CD-ROM bound into the book's cover. more...

  • Data Envelopment Analysisby Subhash C. Ray

    Cambridge University Press 2004; US$ 72.00

    This book deals with the method of data envelopment analysis that uses mathematical programming techniques to obtain measures of efficiency of individual forms from their observed input and output quantities. This permits setting up realistic input-output targets for the firms' managers. more...

  • Statistics for Real-Life Sample Surveysby Sergey Dorofeev; Peter Grant

    Cambridge University Press 2006; US$ 53.00

    Samples used in social and commercial surveys are usually less random than many people using them realise, or have been taught to analyse. This book, for practising researchers, introduces the challenges posed by less-than-perfect samples, giving background knowledge, practical guidance and, above all, realistic and implementable solutions. more...

  • Matched Sampling for Causal Effectsby Donald B. Rubin

    Cambridge University Press 2006; US$ 37.00

    This selection of Donald B. Rubin's contributions to matched sampling includes classic theoretical studies as well as real applications. Each of the seven parts has an introduction by the author offering historical and current context. The book thus provides an accessible introduction to the study of matched sampling for readers across the statistical, social, and medical sciences. more...

  • Data Analysis Using Regression and Multilevel/Hierarchical Modelsby Andrew Gelman; Jennifer Hill

    Cambridge University Press 2006; US$ 42.00

    For the applied researcher performing data analysis using linear and nonlinear regression and multilevel models. more...

  • Missing Data and Small-Area Estimationby Nicholas T. Longford

    Springer 2005; US$ 109.00

    Develops methods for two key problems in the analysis of large-scale surveys such as: dealing with incomplete data and making inferences about sparsely represented subdomains. more...