Applied linear regression for business analytics with r, Mcgibney, Daniel P.

Автор: Richard J Boucherie, Aleida Braaksma, Henk Tijms
Название: Operations Research: Introduction to Models and Methods
ISBN: 9811239819 ISBN-13(EAN): 9789811239816
Издательство: World Scientific Publishing
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Описание:

This attractive textbook with its easy-to-follow presentation provides a down-to-earth introduction to operations research for students in a wide range of fields such as engineering, business analytics, mathematics and statistics, computer science, and econometrics. It is the result of many years of teaching and collective feedback from students.

The book covers the basic models in both deterministic and stochastic operations research and is a springboard to more specialized texts, either practical or theoretical. The emphasis is on useful models and interpreting the solutions in the context of concrete applications.

The text is divided into several parts. The first three chapters deal exclusively with deterministic models, including linear programming with sensitivity analysis, integer programming and heuristics, and network analysis. The next three chapters primarily cover basic stochastic models and techniques, including decision trees, dynamic programming, optimal stopping, production planning, and inventory control. The final five chapters contain more advanced material, such as discrete-time and continuous-time Markov chains, Markov decision processes, queueing models, and discrete-event simulation.

Each chapter contains numerous exercises, and a large selection of exercises includes solutions.

Автор: Chatterjee Samprit
Название: Handbook of Regression Analysis
ISBN: 0470887168 ISBN-13(EAN): 9780470887165
Издательство: Wiley
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Цена: 18842.00 р.
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Описание: A Comprehensive Account for Data Analysts of the Methods and Applications of Regression Analysis. Written by two established experts in the field, the purpose of the Handbook of Regression Analysis is to provide a practical, one-stop reference on regression analysis.

Автор: David W. Hosmer Jr.,Stanley Lemeshow,Rodney X. Stu
Название: Applied Logistic Regression
ISBN: 0470582472 ISBN-13(EAN): 9780470582473
Издательство: Wiley
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Цена: 19000.00 р.
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Описание: This new edition provides a focused introduction to the LR model and its use in methods for modeling the relationship between a dichotomous outcome variable and a set of covariables.

Автор: Lewis-Beck Michael S. Professor, Lewis-Beck Colin
Название: Applied Regression: An Introduction
ISBN: 1483381471 ISBN-13(EAN): 9781483381473
Издательство: Sage Publications
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Цена: 5859.00 р.
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Описание: Updates to this new edition include: more coverage of regression assumptions and model fit; additional material on residual analysis; more examples of transformations; and the inclusion of the measures of tolerance and VIF within the discussion about collinearity.

Автор: Miller
Название: Subset Selection in Regression
ISBN: 1584881712 ISBN-13(EAN): 9781584881711
Издательство: Taylor&Francis
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Цена: 27562.00 р.
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Описание: Deals with the techniques for fitting and choosing models that are linear in their parameters and to understanding and correcting the bias introduced by selecting a model. This title includes a chapter on Bayesian methods and an example from the field of near infrared spectroscopy. It emphasises on cross-validation and focuses on bootstrapping.

Автор: Sengupta Ashis Et Al
Название: Statistical Paradigms: Recent Advances And Reconciliations
ISBN: 9814343951 ISBN-13(EAN): 9789814343954
Издательство: World Scientific Publishing
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Цена: 15840.00 р.
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Описание: A collection of research articles on classical and emerging Statistical Paradigms - parametric, non-parametric and semi-parametric, frequentist and Bayesian - encompassing both theoretical advances and emerging applications in a variety of scientific disciplines.

Автор: T. M. V., Suryanarayana Mistry, P. B.
Название: Principal component regression for crop yield estimation
ISBN: 9811006628 ISBN-13(EAN): 9789811006623
Издательство: Springer
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Цена: 9141.00 р.
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Описание: This book highlights the estimation of crop yield in CentralGujarat, especially with regard to the development of Multiple RegressionModels and Principal Component Regression (PCR) models using climatologicalparameters as independent variables and crop yield as a dependent variable.

Автор: G. Wetherill
Название: Regression Analysis with Applications
ISBN: 9401083223 ISBN-13(EAN): 9789401083225
Издательство: Springer
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Цена: 12157.00 р.
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Автор: J.D. Jobson
Название: Applied Multivariate Data Analysis
ISBN: 1461269601 ISBN-13(EAN): 9781461269601
Издательство: Springer
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Цена: 6986.00 р.
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Описание: An easy to read survey of data analysis, linear regression models and analysis of variance. The extensive development of the linear model includes the use of the linear model approach to analysis of variance provides a strong link to statistical software packages, and is complemented by a thorough overview of theory.

Автор: McGibney
Название: Applied Linear Regression for Business Analytics with R
ISBN: 303121479X ISBN-13(EAN): 9783031214790
Издательство: Springer
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Цена: 11179.00 р.
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Описание: Applied Linear Regression for Business Analytics with R introduces regression analysis to business students using the R programming language with a focus on illustrating and solving real-time, topical problems. Specifically, this book presents modern and relevant case studies from the business world, along with clear and concise explanations of the theory, intuition, hands-on examples, and the coding required to employ regression modeling. Each chapter includes the mathematical formulation and details of regression analysis and provides in-depth practical analysis using the R programming language.

Автор: Weisberg Sanford
Название: Applied Linear Regression
ISBN: 1118386086 ISBN-13(EAN): 9781118386088
Издательство: Wiley
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Цена: 18842.00 р.
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Описание: Providing a coherent set of basic methodology for applied linear regression without being encyclopedic, the fourth edition of Applied Linear Regression is thoroughly updated to help students master the theory and applications of linear regression modeling.

Автор: Fox John
Название: Applied Regression Analysis and Generalized Linear Models
ISBN: 1452205663 ISBN-13(EAN): 9781452205663
Издательство: Sage Publications
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Описание: Providing a modern treatment of regression analysis, linear models and closely related methods, this book introduces students to one of the most useful and widely used statistical tools for social research.