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Author : Robert Riegel
Publisher :
ISBN 13 :
Total Pages : 586 pages
Book Rating : 4.62/5 ( download)
Download or read book Elements of Business Statistics written by Robert Riegel and published by . This book was released on 1924 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : R. C. Gulezian
Publisher :
ISBN 13 : 9780721643519
Total Pages : 558 pages
Book Rating : 4.15/5 ( download)
Download or read book Elements of Business Statistics written by R. C. Gulezian and published by . This book was released on 1979 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Harry Benham
Publisher :
ISBN 13 : 9780840367181
Total Pages : 300 pages
Book Rating : 4.8X/5 ( download)
Download or read book Elements of Business Statistics written by Harry Benham and published by . This book was released on 1994-06-01 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Robert Riegel
Publisher :
ISBN 13 :
Total Pages : 588 pages
Book Rating : 4.65/5 ( download)
Download or read book Elements of Business Statistics written by Robert Riegel and published by . This book was released on 1927 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Les Oakshott
Publisher :
ISBN 13 : 9781858051048
Total Pages : 160 pages
Book Rating : 4.45/5 ( download)
Download or read book Essential Elements of Business Statistics written by Les Oakshott and published by . This book was released on 1994-09-01 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Leon Willenborg
Publisher : Springer Science & Business Media
ISBN 13 : 1461301211
Total Pages : 273 pages
Book Rating : 4.19/5 ( download)
Download or read book Elements of Statistical Disclosure Control written by Leon Willenborg and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical disclosure control is the discipline that deals with producing statistical data that are safe enough to be released to external researchers. This book concentrates on the methodology of the area. It deals with both microdata (individual data) and tabular (aggregated) data. The book attempts to develop the theory from what can be called the paradigm of statistical confidentiality: to modify unsafe data in such a way that safe (enough) data emerge, with minimum information loss. This book discusses what safe data, are, how information loss can be measured, and how to modify the data in a (near) optimal way. Once it has been decided how to measure safety and information loss, the production of safe data from unsafe data is often a matter of solving an optimization problem. Several such problems are discussed in the book, and most of them turn out to be hard problems that can be solved only approximately. The authors present new results that have not been published before. The book is not a description of an area that is closed, but, on the contrary, one that still has many spots awaiting to be more fully explored. Some of these are indicated in the book. The book will be useful for official, social and medical statisticians and others who are involved in releasing personal or business data for statistical use. Operations researchers may be interested in the optimization problems involved, particularly for the challenges they present. Leon Willenborg has worked at the Department of Statistical Methods at Statistics Netherlands since 1983, first as a researcher and since 1989 as a senior researcher. Since 1989 his main field of research and consultancy has been statistical disclosure control. From 1996-1998 he was the project coordinator of the EU co-funded SDC project.
Author : Alexander Holmes
Publisher :
ISBN 13 : 9781998109494
Total Pages : 0 pages
Book Rating : 4.96/5 ( download)
Download or read book Introductory Business Statistics (hardcover, Full Color) written by Alexander Holmes and published by . This book was released on 2023-06-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Printed in color. Introductory Business Statistics is designed to meet the scope and sequence requirements of the one-semester statistics course for business, economics, and related majors. Core statistical concepts and skills have been augmented with practical business examples, scenarios, and exercises. The result is a meaningful understanding of the discipline, which will serve students in their business careers and real-world experiences.
Author : James E. Gentle
Publisher : Springer Science & Business Media
ISBN 13 : 0387216111
Total Pages : 427 pages
Book Rating : 4.19/5 ( download)
Download or read book Elements of Computational Statistics written by James E. Gentle and published by Springer Science & Business Media. This book was released on 2006-04-18 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: Will provide a more elementary introduction to these topics than other books available; Gentle is the author of two other Springer books
Author : Trevor Hastie
Publisher : Springer Science & Business Media
ISBN 13 : 0387216065
Total Pages : 545 pages
Book Rating : 4.65/5 ( download)
Download or read book The Elements of Statistical Learning written by Trevor Hastie and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book’s coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for “wide” data (p bigger than n), including multiple testing and false discovery rates. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.
Author : Francesca Biagini
Publisher : Springer
ISBN 13 : 3319072544
Total Pages : 246 pages
Book Rating : 4.48/5 ( download)
Download or read book Elements of Probability and Statistics written by Francesca Biagini and published by Springer. This book was released on 2016-01-22 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to elementary probability and to Bayesian statistics using de Finetti's subjectivist approach. One of the features of this approach is that it does not require the introduction of sample space – a non-intrinsic concept that makes the treatment of elementary probability unnecessarily complicate – but introduces as fundamental the concept of random numbers directly related to their interpretation in applications. Events become a particular case of random numbers and probability a particular case of expectation when it is applied to events. The subjective evaluation of expectation and of conditional expectation is based on an economic choice of an acceptable bet or penalty. The properties of expectation and conditional expectation are derived by applying a coherence criterion that the evaluation has to follow. The book is suitable for all introductory courses in probability and statistics for students in Mathematics, Informatics, Engineering, and Physics.
