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Author : North-Holland Publishing Company
Publisher : Unknown
Page : 1216 pages
File Size : 44,7 Mb
Release : 1997
Category : Electronic
ISBN : 03783758
Author : Ishwar V. Basawa,Narahari Umanath Prabhu
Publisher : Unknown
Page : 217 pages
File Size : 43,5 Mb
Release : 1994
Category : Electronic
ISBN : OCLC:437071635
Author : Subir Ghosh
Publisher : Wiley
Page : 512 pages
File Size : 44,7 Mb
Release : 2021-10-25
Category : Science
ISBN : 1119962781
This book introduces statistical planning and inference, presenting both classical theory and the major developments in the field. Each chapter presents problems and their solutions along with illustrative examples to introduce concepts and methods, and is supported by a supplementary website featuring guidance on how to implement methods using R.
Author : North-Holland Publishing Company
Publisher : Unknown
Page : 1574 pages
File Size : 40,6 Mb
Release : 2002
Category : Electronic
ISBN : 03783758
Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 45,5 Mb
Release : 2003
Category : Electronic journals
ISBN : 03783758
Author : Elsevier Science (Firm),Universidade da Coruña,Elsevier ScienceDirect
Publisher : Unknown
Page : 128 pages
File Size : 51,5 Mb
Release : 2002
Category : Electronic
ISBN : 03783758
Author : Khaled Elleithy
Publisher : Springer Science & Business Media
Page : 580 pages
File Size : 47,7 Mb
Release : 2008-08-17
Category : Computers
ISBN : 9781402087356
Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Computer Science, Software Engineering, Computer Engineering, and Systems Engineering and Sciences. Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering includes selected papers form the conference proceedings of the International Conference on Systems, Computing Sciences and Software Engineering (SCSS 2007) which was part of the International Joint Conferences on Computer, Information and Systems Sciences and Engineering (CISSE 2007).
Author : Simo Puntanen,George P. H. Styan,Jarkko Isotalo
Publisher : Springer Science & Business Media
Page : 504 pages
File Size : 46,9 Mb
Release : 2011-08-24
Category : Mathematics
ISBN : 9783642104732
In teaching linear statistical models to first-year graduate students or to final-year undergraduate students there is no way to proceed smoothly without matrices and related concepts of linear algebra; their use is really essential. Our experience is that making some particular matrix tricks very familiar to students can substantially increase their insight into linear statistical models (and also multivariate statistical analysis). In matrix algebra, there are handy, sometimes even very simple “tricks” which simplify and clarify the treatment of a problem—both for the student and for the professor. Of course, the concept of a trick is not uniquely defined—by a trick we simply mean here a useful important handy result. In this book we collect together our Top Twenty favourite matrix tricks for linear statistical models.
Author : George E. P. Box,Norman R. Draper
Publisher : John Wiley & Sons
Page : 880 pages
File Size : 45,8 Mb
Release : 2007-01-22
Category : Mathematics
ISBN : 9780470072752
The authority on building empirical models and the fitting of such surfaces to data—completely updated and revised Revising and updating a volume that represents the essential source on building empirical models, George Box and Norman Draper—renowned authorities in this field—continue to set the standard with the Second Edition of Response Surfaces, Mixtures, and Ridge Analyses, providing timely new techniques, new exercises, and expanded material. A comprehensive introduction to building empirical models, this book presents the general philosophy and computational details of a number of important topics, including factorial designs at two levels; fitting first and second-order models; adequacy of estimation and the use of transformation; and occurrence and elucidation of ridge systems. Substantially rewritten, the Second Edition reflects the emergence of ridge analysis of second-order response surfaces as a very practical tool that can be easily applied in a variety of circumstances. This unique, fully developed coverage of ridge analysis—a technique for exploring quadratic response surfaces including surfaces in the space of mixture ingredients and/or subject to linear restrictions—includes MINITAB® routines for performing the calculations for any number of dimensions. Many additional figures are included in the new edition, and new exercises (many based on data from published papers) offer insight into the methods used. The exercises and their solutions provide a variety of supplementary examples of response surface use, forming an extremely important component of the text. Response Surfaces, Mixtures, and Ridge Analyses, Second Edition presents material in a logical and understandable arrangement and includes six new chapters covering an up-to-date presentation of standard ridge analysis (without restrictions); design and analysis of mixtures experiments; ridge analysis methods when there are linear restrictions in the experimental space including the mixtures experiments case, with or without further linear restrictions; and canonical reduction of second-order response surfaces in the foregoing general case. Additional features in the new edition include: New exercises with worked answers added throughout An extensive revision of Chapter 5: Blocking and Fractionating 2k Designs Additional discussion on the projection of two-level designs into lower dimensional spaces This is an ideal reference for researchers as well as a primary text for Response Surface Methodology graduate-level courses and a supplementary text for Design of Experiments courses at the upper-undergraduate and beginning-graduate levels.
Author : Angela Dean,Max Morris,John Stufken,Derek Bingham
Publisher : CRC Press
Page : 946 pages
File Size : 43,8 Mb
Release : 2015-06-26
Category : Mathematics
ISBN : 9781466504349
This carefully edited collection synthesizes the state of the art in the theory and applications of designed experiments and their analyses. It provides a detailed overview of the tools required for the optimal design of experiments and their analyses. The handbook covers many recent advances in the field, including designs for nonlinear models and algorithms applicable to a wide variety of design problems. It also explores the extensive use of experimental designs in marketing, the pharmaceutical industry, engineering and other areas.
Author : Marlos A. G. Viana
Publisher : American Mathematical Soc.
Page : 358 pages
File Size : 51,5 Mb
Release : 2010
Category : Algebra
ISBN : 9780821848913
A decade after the publication of Contemporary Mathematics Vol. 287, the present volume demonstrates the consolidation of important areas, such as algebraic statistics, computational commutative algebra, and deeper aspects of graphical models. --
Author : Ashis Sengupta
Publisher : World Scientific
Page : 492 pages
File Size : 47,8 Mb
Release : 2009
Category : Mathematics
ISBN : 9789812838230
Printbegrænsninger: Der kan printes 10 sider ad gangen og max. 40 sider pr. session
Author : Wei Liu
Publisher : CRC Press
Page : 292 pages
File Size : 54,5 Mb
Release : 2010-10-19
Category : Mathematics
ISBN : 1439828105
Simultaneous confidence bands enable more intuitive and detailed inference of regression analysis than the standard inferential methods of parameter estimation and hypothesis testing. Simultaneous Inference in Regression provides a thorough overview of the construction methods and applications of simultaneous confidence bands for various inferentia
Author : Mervyn J. Silvapulle,Pranab Kumar Sen
Publisher : John Wiley & Sons
Page : 560 pages
File Size : 44,9 Mb
Release : 2011-09-15
Category : Mathematics
ISBN : 9781118165638
An up-to-date approach to understanding statistical inference Statistical inference is finding useful applications in numerous fields, from sociology and econometrics to biostatistics. This volume enables professionals in these and related fields to master the concepts of statistical inference under inequality constraints and to apply the theory to problems in a variety of areas. Constrained Statistical Inference: Order, Inequality, and Shape Constraints provides a unified and up-to-date treatment of the methodology. It clearly illustrates concepts with practical examples from a variety of fields, focusing on sociology, econometrics, and biostatistics. The authors also discuss a broad range of other inequality-constrained inference problems that do not fit well in the contemplated unified framework, providing a meaningful way for readers to comprehend methodological resolutions. Chapter coverage includes: Population means and isotonic regression Inequality-constrained tests on normal means Tests in general parametric models Likelihood and alternatives Analysis of categorical data Inference on monotone density function, unimodal density function, shape constraints, and DMRL functions Bayesian perspectives, including Stein’s Paradox, shrinkage estimation, and decision theory
Author : Hengqing Tong,T. Krishna Kumar,Yangxin Huang
Publisher : John Wiley & Sons
Page : 489 pages
File Size : 54,5 Mb
Release : 2011-11-28
Category : Business & Economics
ISBN : 9781119960904
Statistical Theories and Methods with Applications to Economics and Business highlights recent advances in statistical theory and methods that benefit econometric practice. It deals with exploratory data analysis, a prerequisite to statistical modelling and part of data mining. It provides recently developed computational tools useful for data mining, analysing the reasons to do data mining and the best techniques to use in a given situation. Provides a detailed description of computer algorithms. Provides recently developed computational tools useful for data mining Highlights recent advances in statistical theory and methods that benefit econometric practice. Features examples with real life data. Accompanying software featuring DASC (Data Analysis and Statistical Computing). Essential reading for practitioners in any area of econometrics; business analysts involved in economics and management; and Graduate students and researchers in economics and statistics.
