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Author : Karsten Schmidt
Publisher :
ISBN 13 :
Total Pages : 28 pages
Book Rating : 4.:/5 (16 download)
Download or read book ˜Aœ Note on Minimax Estimation in Linear Regression written by Karsten Schmidt and published by . This book was released on 1991 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Helge Blaker
Publisher :
ISBN 13 : 9788255311171
Total Pages : 26 pages
Book Rating : 4.3/5 (111 download)
Download or read book Minimax Estimation in Linear Regression Under Restrictions written by Helge Blaker and published by . This book was released on 1998 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Norbert Christopeit
Publisher :
ISBN 13 :
Total Pages : 34 pages
Book Rating : 4.:/5 (752 download)
Download or read book On minimax estimation in linear regression models with ellipsoidal constraints written by Norbert Christopeit and published by . This book was released on 1991 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Peter Stahlecker
Publisher :
ISBN 13 :
Total Pages : 32 pages
Book Rating : 4.:/5 (461 download)
Download or read book Minimax estimation in linear regression with convex polyhedral constraints written by Peter Stahlecker and published by . This book was released on 1990 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Hilmar Drygas
Publisher :
ISBN 13 :
Total Pages : 72 pages
Book Rating : 4.:/5 (612 download)
Download or read book A Note on Minimax-estimation in Regression Models with Affine Restrictions written by Hilmar Drygas and published by . This book was released on 1988 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : P. Stahlecker
Publisher :
ISBN 13 :
Total Pages : 16 pages
Book Rating : 4.:/5 (897 download)
Download or read book Minimax Estimation in Linear Regression with Convex Polyhedral Constraints written by P. Stahlecker and published by . This book was released on 1990 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Eduard N. Belitser
Publisher :
ISBN 13 :
Total Pages : 148 pages
Book Rating : 4.F/5 ( download)
Download or read book Minimax Estimation in Regression and Random Censorship Models written by Eduard N. Belitser and published by . This book was released on 2000 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : H. Toutenburg
Publisher :
ISBN 13 :
Total Pages : 6 pages
Book Rating : 4.:/5 (249 download)
Download or read book A Note on the Comparison of Minimax Linear and Mixed Regression Estimation of Regression Coefficients when Prior Estimates are Available written by H. Toutenburg and published by . This book was released on 2001 with total page 6 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Peter Stahlecker
Publisher :
ISBN 13 :
Total Pages : 20 pages
Book Rating : 4.:/5 (459 download)
Download or read book Quasi minimax estimation in the linear regression model written by Peter Stahlecker and published by . This book was released on 1984 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Henning Knautz
Publisher :
ISBN 13 :
Total Pages : 12 pages
Book Rating : 4.:/5 (248 download)
Download or read book Minimax Estimation in the Linear Regression Model with Fuzzy Inequality Constraints written by Henning Knautz and published by . This book was released on 2000 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Peter Stahlecker
Publisher :
ISBN 13 :
Total Pages : 40 pages
Book Rating : 4.:/5 (159 download)
Download or read book Approximative Minimax Estimators in the Linear Regression Model written by Peter Stahlecker and published by . This book was released on 1985 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Bernhard F. Arnold
Publisher :
ISBN 13 :
Total Pages : 11 pages
Book Rating : 4.:/5 (551 download)
Download or read book An Unexpected Property of Minimax Estimation in the Relative Squared Error Approach to Linear Regression Analysis written by Bernhard F. Arnold and published by . This book was released on 2009 with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : S. Panchapakesan
Publisher : Springer Science & Business Media
ISBN 13 : 1461223083
Total Pages : 478 pages
Book Rating : 4.4/5 (612 download)
Download or read book Advances in Statistical Decision Theory and Applications written by S. Panchapakesan and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: Shanti S. Gupta has made pioneering contributions to ranking and selection theory; in particular, to subset selection theory. His list of publications and the numerous citations his publications have received over the last forty years will amply testify to this fact. Besides ranking and selection, his interests include order statistics and reliability theory. The first editor's association with Shanti Gupta goes back to 1965 when he came to Purdue to do his Ph.D. He has the good fortune of being a student, a colleague and a long-standing collaborator of Shanti Gupta. The second editor's association with Shanti Gupta began in 1978 when he started his research in the area of order statistics. During the past twenty years, he has collaborated with Shanti Gupta on several publications. We both feel that our lives have been enriched by our association with him. He has indeed been a friend, philosopher and guide to us.
Author : David Edward Goldberg
Publisher : Addison-Wesley Professional
ISBN 13 :
Total Pages : 436 pages
Book Rating : 4.3/5 (91 download)
Download or read book Genetic Algorithms in Search, Optimization, and Machine Learning written by David Edward Goldberg and published by Addison-Wesley Professional. This book was released on 1989 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: A gentle introduction to genetic algorithms. Genetic algorithms revisited: mathematical foundations. Computer implementation of a genetic algorithm. Some applications of genetic algorithms. Advanced operators and techniques in genetic search. Introduction to genetics-based machine learning. Applications of genetics-based machine learning. A look back, a glance ahead. A review of combinatorics and elementary probability. Pascal with random number generation for fortran, basic, and cobol programmers. A simple genetic algorithm (SGA) in pascal. A simple classifier system(SCS) in pascal. Partition coefficient transforms for problem-coding analysis.
Author : Edward James Hannan
Publisher : John Wiley & Sons
ISBN 13 : 0470317132
Total Pages : 552 pages
Book Rating : 4.4/5 (73 download)
Download or read book Multiple Time Series written by Edward James Hannan and published by John Wiley & Sons. This book was released on 2009-09-25 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Wiley Series in Probability and Statistics is a collection of topics of current research interests in both pure and applied statistics and probability developments in the field and classical methods. This series provides essential and invaluable reading for all statisticians, whether in academia, industry, government, or research.
Author : Iain Pardoe
Publisher : John Wiley & Sons
ISBN 13 : 1118345045
Total Pages : 319 pages
Book Rating : 4.1/5 (183 download)
Download or read book Applied Regression Modeling written by Iain Pardoe and published by John Wiley & Sons. This book was released on 2013-01-07 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the First Edition "The attention to detail is impressive. The book is very well written and the author is extremely careful with his descriptions . . . the examples are wonderful." —The American Statistician Fully revised to reflect the latest methodologies and emerging applications, Applied Regression Modeling, Second Edition continues to highlight the benefits of statistical methods, specifically regression analysis and modeling, for understanding, analyzing, and interpreting multivariate data in business, science, and social science applications. The author utilizes a bounty of real-life examples, case studies, illustrations, and graphics to introduce readers to the world of regression analysis using various software packages, including R, SPSS, Minitab, SAS, JMP, and S-PLUS. In a clear and careful writing style, the book introduces modeling extensions that illustrate more advanced regression techniques, including logistic regression, Poisson regression, discrete choice models, multilevel models, and Bayesian modeling. In addition, the Second Edition features clarification and expansion of challenging topics, such as: Transformations, indicator variables, and interaction Testing model assumptions Nonconstant variance Autocorrelation Variable selection methods Model building and graphical interpretation Throughout the book, datasets and examples have been updated and additional problems are included at the end of each chapter, allowing readers to test their comprehension of the presented material. In addition, a related website features the book's datasets, presentation slides, detailed statistical software instructions, and learning resources including additional problems and instructional videos. With an intuitive approach that is not heavy on mathematical detail, Applied Regression Modeling, Second Edition is an excellent book for courses on statistical regression analysis at the upper-undergraduate and graduate level. The book also serves as a valuable resource for professionals and researchers who utilize statistical methods for decision-making in their everyday work.
Author : Stanton A. Glantz
Publisher : McGraw Hill Professional
ISBN 13 : 0071822445
Total Pages : 1212 pages
Book Rating : 4.0/5 (718 download)
Download or read book Primer of Applied Regression & Analysis of Variance 3E written by Stanton A. Glantz and published by McGraw Hill Professional. This book was released on 2016-02-22 with total page 1212 pages. Available in PDF, EPUB and Kindle. Book excerpt: A textbook on the use of advanced statistical methods in healthcare sciences Primer of Applied Regression & Analysis of Variance is a textbook especially created for medical, public health, and social and environmental science students who need applied (not theoretical) training in the use of statistical methods. The book has been acclaimed for its user-friendly style that makes complicated material understandable to readers who do not have an extensive math background. The text is packed with learning aids that include chapter-ending summaries and end-of-chapter problems that quickly assess mastery of the material. Examples from biological and health sciences are included to clarify and illustrate key points. The techniques discussed apply to a wide range of disciplines, including social and behavioral science as well as health and life sciences. Typical courses that would use this text include those that cover multiple linear regression and ANOVA. Four completely new chapters Completely updated software information and examples
