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Presents the fundamentals of regression analysis, from its meaning to uses, in a concise, easy-to-read, and non-technical style.;
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the many ways it can be used. Taking into consideration current statistical technology, Introductory Regression Analysis focuses on the use;
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the many ways it can be used. Taking into consideration current statistical technology, Introductory Regression Analysis focuses on the use;
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, logistic regression, and survival analysis. There are further chapters covering longitudinal data and missing values, before the last seven;
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, logistic regression, and survival analysis. There are further chapters covering longitudinal data and missing values, before the last seven;
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methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way;
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An introductory text for undergraduates, graduates, and working professionals; emphasizes applications in public health, biology, and the;
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, the text covers single-subject analysis, as well as multiple regression. The mathematics is presented in a simple user-friendly manner.;
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reference on regression (previously Neter was lead author.) For students in most any discipline where statistical analysis or interpretation is used;
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introductory econometrics that aim to mix the development of technique with its application to real economic analysis. The text emphasizes formulating;
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diversity, linear regression, ordination, principal components analysis, correspondence analysis, classification, and various other multivariate;
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INTRODUCTION TO LINEAR REGRESSION ANALYSIS A comprehensive and current introduction to the fundamentals of regression analysis;
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literature) to support the theoretical discussion. Emphasizes the regression model, including nonlinear and multiple regression. Topics covered;
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The Analysis of Biological Data is a new approach to teaching introductory statistics to biology students. To reach this unique audience;
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Regression Analysis and Its Application: A Data-Oriented Approach answers the need for researchers and students who would like a better;
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Regression Analysis and Its Application: A Data-Oriented Approach answers the need for researchers and students who would like a better;
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the use of computers. The regression model is well covered, including both nonlinear and multiple regression. The chapters contain many real;
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. Subsequently, the book focuses on more advanced topics with coverage of regression analysis, logistic regression, methods for count data, analysis;
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Regression Analysis Study Guide is een boek van Rudolf J. Freund;
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Applied Statistics presents a thorough treatment of the methods of regression and analysis of variance. The book focuses on conceptual;
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This book describes a comprehensive regression analysis to the conduct of scientific research. It outlines theoretical principals;
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INTRODUCTION TO LINEAR REGRESSION ANALYSIS;
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The book is divided into three parts - (1) prerequisite to regression analysis followed by a discussion on simple regression, (2) multiple;
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This book is an introduction to regression analysis, focusing on the practicalities of doing regression analysis on real-life data;
Vergelijkbare producten zoals Applied Regression Analysis
This book is an introduction to regression analysis, focusing on the practicalities of doing regression analysis on real-life data;
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This volume presents in detail the fundamental theories of linear regression analysis and diagnosis, as well as the relevant statistical;
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This is an introductory textbook on spatial analysis and spatial statistics through GIS. Each chapter presents methods and metrics;
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