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Super Crunchers: Why Thinking-By-Numbers Is the New Way to Be Smart
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Professor Ian Ayres
In this lively and groundbreaking new book, economist Ayres shows how today's best and brightest organizations are analyzing massive databases at lightening speed to provide greater insights into human behavior.
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Using Econometrics: A Practical Guide
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A H Studenmund
Combining single-equation linear regression analysis with intuitive real-world examples and exercises is key to the success of Using Econometrics. Clear writing and a practical approach to econometrics that eschews the use of complex matrix algebra and calculus evidence this essential text's accessibility. As the subtitle, A Practical Guide, ...
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Mostly Harmless Econometrics: An Empiricist's Companion
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Joshua David Angrist, Jorn-Steffen Pischke
The core methods in today's econometric toolkit are linear regression for statistical control, instrumental variables methods for the analysis of natural experiments, and differences-in-differences methods that exploit policy changes. In the modern experimentalist paradigm, these techniques address clear causal questions such as: Do smaller ...
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Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences
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Jacob Cohen
This revised and updated edition is informed throughout by the application of Multiple Regression/Correlation (MRC) to the study of causality. MRC is seen here as a scientific rather than a technological tool - for understanding rather than blind "prediction". The presentation is non-mathematical and should be easy to grasp, with emphasis on ...
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Introduction to Linear Regression Analysis
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Montgomery, Peck 1953-
This work provides a comprehensive and up-to-date introduction to the fundamentals of regression analysis. The Fourth Edition of "Introduction to Linear Regression Analysis" describes both the conventional and less common uses of linear regression in the practical context of today's mathematical and scientific research. This popular book blends ...
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Applied Linear Regression
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Sanford Weisberg
Nonlinear Statistical Methods A. Ronald Gallant Describes the recent advances in statistical and probability theory that have removed obstacles to an adequate theory of estimation and inference for nonlinear models. Thoroughly explains theory, methods, computations, and applications. Covers the three major categories of statistical models that ...
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Data Analysis Using Regression and Multilevel/Hierarchical Models
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Andrew Gelman, Jennifer Hill
Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using ...
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Applied Regression Analysis
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Norman R. Draper, Harry Smith
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Business Analysis Using Regression: A Casebook
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Dean P Foster
This book provides a set of case studies that can supplement any text on regression analysis. Developed at the Wharton School of the University of Pennsylvania, it is used for the second semester of a beginning statistics course for MBA students. The casebook provides the latest in data analysis techniques, and includes a discussion of JMP and ...
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A Second Course in Statistics: Regression Analysis
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William Mendenhall, Terry Sincich
For either the second term of an introductory statistics course or for an advanced course in applied regression analysis for students in all disciplines, especially those in business. This very applied text focuses on building linear statistical models and developing skills for implementing regression analysis in real-life situations. It includes ...
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Logistic Regression: A Self-Learning Text
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by
David G Kleinbaum
This is the second edition of this text on logistic regression methods. As in the first edition, each chapter contains a presentation of its topic in 'lecture-book' format together with objectives, an outline, key formulae, practice exercises, and a test. The 'lecture-book' has a sequence of illustrations and formulae in the left column of each ...
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Applied Regression: An Introduction
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Dr. Michael S Lewis-Beck
Applied regression allows social scientists who are not specialists in quantitative techniques to arrive at clear verbal explanations of their numerical results. Provides a lucid discussion of more specialized subjects: analysis of residuals, interaction effects, specification error, multicollinearity, standardized coefficients, and dummy ...
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Multiple Regression: A Primer
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Paul David Allison, Stephen I Allison
Multiple regression is at the heart of social science data analysis, because it deals with explanations and correlations. This book is a complete introduction to this statistical method. This textbook is designed for the first social statistics course a student takes and, unlike other titles aimed at a higher level, has been specifically written ...
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Applied Linear Regression Models
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by
Michael H Kutner, PH.D., Chris J Nachtsheim, PH.D., John Neter
Kutner, Neter, Nachtsheim, Wasserman, Applied Linear Regression Models, 4/e (ALRM4e) is the long established leading authoritative text and reference on regression (previously Neter was lead author.) For students in most any discipline where statistical analysis or interpretation is used, ALRM has served as the industry standard. The text includes ...
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Multiple Regression in Behavioral Research
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Elazar J Pedhazur, J Pedhazur
Multiple Regression in Behavioral Research adopts a data-analysis approach to multiple regression. Pedhazur integrates design and analysis, and emphasizes learning by example and critiques of published research. Features: * Pedhazur places strong emphasis on the application of regression analysis to various research problems. He discusses major ...
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Applied Linear Statistical Models: Regression, Analysis of Variance, and Experimental Designs
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John Neter
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Data Analysis for Research Designs
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Geoffrey Keppel, Sheldon Zedeck
"Data Analysis for Research Designs" covers the analytical techniques for the analysis of variance (ANOVA) and multiple regression/correlation (MRC), emphasizing single-degree-of-freedom comparisons so that students focus on clear research planning. This text is designed for advanced undergraduates and graduate students of the behavioral and ...
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Statistics Demystified
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Stan Gibilisco
Popular science/hobbyist writer Stan Gibilisco covers every important aspect of basic (algebra-based) statistics, including: notation and jargon, describing, tables, graphs, randomness and uncertainty, probability principles, distributions, obtaining and interpreting data, correlation, causation, and more. You'll be able to learn more in less time ...
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Regression Analysis by Example
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Samprit Chatterjee, Ali S Hadi
This book provides the essentials of regression analysis through practical applications. Regression analysis is a conceptually simple method for investigating relationships among variables. Carrying out a successful application of regression analysis, however, requires a balance of theoretical results, empirical rules, and subjective judgement. ...
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Applied logistic regression
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David W Hosmer, Ph.D., Stanley Lemeshow, Ph.D.
From the reviews of the First Edition. "An interesting, useful, and well-written book on logistic regression models ...Hosmer and Lemeshow have used very little mathematics, have presented difficult concepts heuristically and through illustrative examples, and have included references."-Choice "Well written, clearly organized, and comprehensive .. ...
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A Guide to Modern Econometrics
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Marno Verbeek
Marno Verbeek's intermediate level textbook explores a wide range of topics in modern econometrics and focuses on what is important for doing and understanding empirical work. A wide range of new topics are covered including time series analysis, limited dependent variables, cointegration and panel data analysis. FEATURES Concentrates on the ...
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Logistic Regression Using the SAS System: Theory and Application
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Paul David Allison
Written in an informal and non-technical style, this book first explains the theory behind logistic regression and then shows how to implement it using the SAS System. Allison includes several detailed, real-world examples of the social sciences to provide readers with a better understanding of the material. He also explores the differences and ...
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Multilevel Analysis for Applied Research: It's Just Regression!
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Robert Bickel
This book provides a uniquely accessible introduction to multilevel modeling, a powerful tool for analyzing relationships between an individual-level dependent variable, such as student reading achievement, and individual-level and contextual explanatory factors, such as gender and neighborhood quality. Helping readers build on the statistical ...
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Applied regression analysis and other multivariable methods
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David G. Kleinbaum, Lawrence L. Kupper
This bestseller will help you learn regression-analysis methods that you can apply to real-life problems. It highlights the role of the computer in contemporary statistics with numerous printouts and exercises that you can solve using the computer. The authors continue to emphasize model development, the intuitive logic and assumptions that ...
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An R and S-Plus Companion to Applied Regression
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by
John Fox
'This book fits right into a needed niche: rigorous enough to give full explanation of the power of the S language, yet accessible enough to assign to social science graduate students without fear of intimidation. It is a tremendous balance of applied statistical "firepower" and thoughtful explanation. it meets all of the important mechanical ...
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