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Author : David Mitchell Allen
Publisher :
ISBN 13 :
Total Pages : 20 pages
Book Rating : 4.:/5 (368 download)
Download or read book Mean Square Error of Prediction as a Criterion for Selecting Variables written by David Mitchell Allen and published by . This book was released on 1970 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Katari Ashok Chandra
Publisher : LAP Lambert Academic Publishing
ISBN 13 : 9783659457685
Total Pages : 136 pages
Book Rating : 4.4/5 (576 download)
Download or read book Criteria For Selection Of Regressors In Econometrics written by Katari Ashok Chandra and published by LAP Lambert Academic Publishing. This book was released on 2013 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this present book Chapter-I is an introductory one. Chapter-II describes the various criteria for selection of regressors in the multiple regression analysis existing in this book. Chapter-III deals with the basic stepwise regression procedures for variable selection in multiple regression analysis and The mean square error of prediction criterion has been discussed along with a similar average estimated variance criterion for the selection of variables in the general linear model. Chapter-IV presents the various methods for choosing variable subsets in multiple linear regression analysis under these methods, the mean squared prediction error has been considered as basis of the criteria. Chapter-V proposes some new criteria for selection of regressors in econometrics based on different types of residuals such as Ordinary Least Squares, Studentized and Predicted residuals. Chapter-VI depicts the main conclusions of the present research study. It also narrates the plan for future research as an extension in the lines of study. Several relevant references have been documented under a separate title "BIBLIOGRAPHY."
Author : Marcia McGarraugh Andberg
Publisher :
ISBN 13 :
Total Pages : 226 pages
Book Rating : 4.:/5 (319 download)
Download or read book The Predictive Efficacy of Two Parameter Estimation Procedures in Multiple Regression Analysis written by Marcia McGarraugh Andberg and published by . This book was released on 1984 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Peter Bruce
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491952911
Total Pages : 322 pages
Book Rating : 4.4/5 (919 download)
Download or read book Practical Statistics for Data Scientists written by Peter Bruce and published by "O'Reilly Media, Inc.". This book was released on 2017-05-10 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data
Author : Raymond H. Myers
Publisher : John Wiley & Sons
ISBN 13 : 1118210476
Total Pages : 596 pages
Book Rating : 4.1/5 (182 download)
Download or read book Response Surface Methodology written by Raymond H. Myers and published by John Wiley & Sons. This book was released on 2011-09-20 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the Second Edition: "This book [is for] anyone who would like a good, solid understanding of response surface methodology. The book is easy to read, easy to understand, and very applicable. The examples are excellent and facilitate learning of the concepts and methods." —Journal of Quality Technology Complete with updates that capture the important advances in the field of experimental design, Response Surface Methodology, Third Edition successfully provides a basic foundation for understanding and implementing response surface methodology (RSM) in modern applications. The book continues to outline the essential statistical experimental design fundamentals, regression modeling techniques, and elementary optimization methods that are needed to fit a response surface model from experimental data. With its wealth of new examples and use of the most up-to-date software packages, this book serves as a complete and modern introduction to RSM and its uses across scientific and industrial research. This new edition maintains its accessible approach to RSM, with coverage of classical and modern response surface designs. Numerous new developments in RSM are also treated in full, including optimal designs for RSM, robust design, methods for design evaluation, and experiments with restrictions on randomization as well as the expanded integration of these concepts into computer software. Additional features of the Third Edition include: Inclusion of split-plot designs in discussion of two-level factorial designs, two-level fractional factorial designs, steepest ascent, and second-order models A new section on the Hoke design for second-order response surfaces New material on experiments with computer models Updated optimization techniques useful in RSM, including multiple responses Thorough treatment of presented examples and experiments using JMP 7, Design-Expert Version 7, and SAS software packages Revised and new exercises at the end of each chapter An extensive references section, directing the reader to the most current RSM research Assuming only a fundamental background in statistical models and matrix algebra, Response Surface Methodology, Third Edition is an ideal book for statistics, engineering, and physical sciences courses at the upper-undergraduate and graduate levels. It is also a valuable reference for applied statisticians and practicing engineers.
Author : Raymond Chan
Publisher : OUP Oxford
ISBN 13 : 9780199206810
Total Pages : 584 pages
Book Rating : 4.2/5 (68 download)
Download or read book Milestones in Matrix Computation : The selected works of Gene H. Golub with commentaries written by Raymond Chan and published by OUP Oxford. This book was released on 2007-02-22 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: The text presents and discusses some of the most influential papers in Matrix Computation authored by Gene H. Golub, one of the founding fathers of the field. The collection of 21 papers is divided into five main areas: iterative methods for linear systems, solution of least squares problems, matrix factorizations and applications, orthogonal polynomials and quadrature, and eigenvalue problems. Commentaries for each area are provided by leading experts: Anne Greenbaum, Ake Bjorck, Nicholas Higham, Walter Gautschi, and G. W. (Pete) Stewart. Comments on each paper are also included by the original authors, providing the reader with historical information on how the paper came to be written and under what circumstances the collaboration was undertaken. Including a brief biography and facsimiles of the original papers, this text will be of great interest to students and researchers in numerical analysis and scientific computation.
Author : Susan May Horvath
Publisher :
ISBN 13 :
Total Pages : 168 pages
Book Rating : 4.E/5 ( download)
Download or read book Variable Selection and Ridge Regression written by Susan May Horvath and published by . This book was released on 1977 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Kenneth P. Burnham
Publisher : Springer Science & Business Media
ISBN 13 : 0387224564
Total Pages : 512 pages
Book Rating : 4.3/5 (872 download)
Download or read book Model Selection and Multimodel Inference written by Kenneth P. Burnham and published by Springer Science & Business Media. This book was released on 2007-05-28 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unique and comprehensive text on the philosophy of model-based data analysis and strategy for the analysis of empirical data. The book introduces information theoretic approaches and focuses critical attention on a priori modeling and the selection of a good approximating model that best represents the inference supported by the data. It contains several new approaches to estimating model selection uncertainty and incorporating selection uncertainty into estimates of precision. An array of examples is given to illustrate various technical issues. The text has been written for biologists and statisticians using models for making inferences from empirical data.
Author :
Publisher :
ISBN 13 :
Total Pages : 206 pages
Book Rating : 4.:/5 (321 download)
Download or read book Agricultural Economics Research written by and published by . This book was released on 1982 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Kenneth P. Burnham
Publisher : Springer Science & Business Media
ISBN 13 : 1475729170
Total Pages : 373 pages
Book Rating : 4.4/5 (757 download)
Download or read book Model Selection and Inference written by Kenneth P. Burnham and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statisticians and applied scientists must often select a model to fit empirical data. This book discusses the philosophy and strategy of selecting such a model using the information theory approach pioneered by Hirotugu Akaike. This approach focuses critical attention on a priori modeling and the selection of a good approximating model that best represents the inference supported by the data. The book includes practical applications in biology and environmental science.
Author : J.D. Jobson
Publisher : Springer Science & Business Media
ISBN 13 : 1461209552
Total Pages : 646 pages
Book Rating : 4.4/5 (612 download)
Download or read book Applied Multivariate Data Analysis written by J.D. Jobson and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 646 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. It is assumed that the reader has the background equivalent to an introductory book in statistical inference. Can be read easily by those who have had brief exposure to calculus and linear algebra. Intended for first year graduate students in business, social and the biological sciences. Provides the student with the necessary statistics background for a course in research methodology. In addition, undergraduate statistics majors will find this text useful as a survey of linear models and their applications.
Author :
Publisher :
ISBN 13 :
Total Pages : 44 pages
Book Rating : 4.:/5 (319 download)
Download or read book Water-resources Investigations Report written by and published by . This book was released on 2002 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Kevin Kim
Publisher : CRC Press
ISBN 13 : 1420011367
Total Pages : 549 pages
Book Rating : 4.4/5 (2 download)
Download or read book Univariate and Multivariate General Linear Models written by Kevin Kim and published by CRC Press. This book was released on 2006-10-11 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reviewing the theory of the general linear model (GLM) using a general framework, Univariate and Multivariate General Linear Models: Theory and Applications with SAS, Second Edition presents analyses of simple and complex models, both univariate and multivariate, that employ data sets from a variety of disciplines, such as the social and behavioral
Author :
Publisher :
ISBN 13 :
Total Pages : 336 pages
Book Rating : 4.:/5 (918 download)
Download or read book A Mean-Squared-Error-Based Methodology for Parameter Ranking and Selection to Obtain Accurate Model Predictions at Key Operating Conditions written by and published by . This book was released on 2014 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this thesis, a new mean-squared-error (MSE)-based criterion, rCCW, is proposed to select the optimal number of parameters to estimate from the ranked list of parameters considering the operating region where accurate model predictions are desired. This new approach accounts for the trade-off between bias and variance as additional parameters from this ranked list are estimated. Next, a new forward-selection methodology based on rCCW MSE-based criterion is devised to simultaneously rank and select the parameters while considering the conditions in the desired operating region. The information about the desired operating conditions is considered during both ranking and selection step in this parameter subset selection technique. This approach is valuable to modelers who want to make predictions about new products or grades or at new operating conditions, using models that are fitted only by utilizing data which were obtained at prior operating conditions. The forward selection MSE-based rCCW criterion is then extended to the cases in which the Fisher information matrix (FIM) is not invertible. A singular FIM has been reported in many industrial chemical engineering models, many high-dimensional parameter estimation problems, and over-parameterized models. A singular FIM leads to a significant complication in the analysis of parameter estimation problems. In this thesis, two different approaches for parameter ranking and selection are undertaken and compared when the FIM is not invertible. The method that uses a reduced invertible FIM is shown to be superior to the alternative method that uses a pseudo inverse, using a linear regression case study. The methodology is extended for use in fundamental nonlinear dynamic models and illustrated using a film casting example.
Author : Ali S. Hadi
Publisher : John Wiley & Sons
ISBN 13 : 1119830893
Total Pages : 485 pages
Book Rating : 4.1/5 (198 download)
Download or read book Regression Analysis By Example Using R written by Ali S. Hadi and published by John Wiley & Sons. This book was released on 2023-10-11 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: Regression Analysis By Example Using R A STRAIGHTFORWARD AND CONCISE DISCUSSION OF THE ESSENTIALS OF REGRESSION ANALYSIS In the newly revised sixth edition of Regression Analysis By Example Using R, distinguished statistician Dr Ali S. Hadi delivers an expanded and thoroughly updated discussion of exploratory data analysis using regression analysis in R. The book provides in-depth treatments of regression diagnostics, transformation, multicollinearity, logistic regression, and robust regression. The author clearly demonstrates effective methods of regression analysis with examples that contain the types of data irregularities commonly encountered in the real world. This newest edition also offers a brand-new, easy to read chapter on the freely available statistical software package R. Readers will also find: Reorganized, expanded, and upgraded exercises at the end of each chapter with an emphasis on data analysis Updated data sets and examples throughout the book Complimentary access to a companion website that provides data sets in xlsx, csv, and txt format Perfect for upper-level undergraduate or beginning graduate students in statistics, mathematics, biostatistics, and computer science programs, Regression Analysis By Example Using R will also benefit readers who need a reference for quick updates on regression methods and applications.
Author : Fernando Sansò
Publisher : Springer Science & Business Media
ISBN 13 : 366210735X
Total Pages : 356 pages
Book Rating : 4.6/5 (621 download)
Download or read book V Hotine-Marussi Symposium on Mathematical Geodesy written by Fernando Sansò and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Just as in the era of great achievements by scientists such as Newton and Gauss, the mathematical theory of geodesy is continuing the tradition of producing exciting theoretical results, but today the advances are due to the great technological push in the era of satellites for earth observations and large computers for calculations. Every four years a symposium on methodological matters documents this ongoing development in many related underlying areas such as estimation theory, stochastic modelling, inverse problems, and satellite-positioning global-reference systems. This book presents developments in geodesy and related sciences, including applied mathematics, among which are many new results of high intellectual value to help readers stay on top of the latest happenings in the field.
Author :
Publisher :
ISBN 13 :
Total Pages : 736 pages
Book Rating : 4.3/5 (91 download)
Download or read book Technometrics written by and published by . This book was released on 1974 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt:
