Elements of Business Statistics
Author : Robert Riegel
Publisher :
Page : 586 pages
File Size : 18,57 MB
Release : 1924
Category : Business
ISBN :
Author : Robert Riegel
Publisher :
Page : 586 pages
File Size : 18,57 MB
Release : 1924
Category : Business
ISBN :
Author : Robert RIEGEL
Publisher :
Page : 549 pages
File Size : 46,9 MB
Release : 1927
Category :
ISBN :
Author : R. C. Gulezian
Publisher :
Page : 558 pages
File Size : 43,16 MB
Release : 1979
Category : Commercial statistics
ISBN : 9780721643519
Author : Trevor Hastie
Publisher : Springer Science & Business Media
Page : 545 pages
File Size : 49,76 MB
Release : 2013-11-11
Category : Mathematics
ISBN : 0387216065
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 : Harry Benham
Publisher :
Page : 300 pages
File Size : 29,53 MB
Release : 1994-06-01
Category :
ISBN : 9780840367181
Author : James Bernard Ramsey
Publisher : Cengage Learning
Page : 0 pages
File Size : 31,38 MB
Release : 2002
Category : Economics
ISBN : 9780534371111
Designed for instructors who want to stress the understanding of basic concepts and the development of "statistical intuition," this book demonstrates that statistical reasoning is everywhere and that statistical concepts are as important to students' personal lives as they are to their future professional careers. Ramsey aims to develop statistically literacy - from the ability to read and think critically about statistics published in popular media to the ability to analyze and act upon statistics gathered in the business world. The underlying philosophy of this book is that given a reasonable level of depth in the analysis, the student can later acquire a much more extensive, and even more intensive, exposure to statistics on their own or in the context of the work environment. Some use of calculus is included. Use of the computer is integrated throughout.
Author : Sanjiv Jaggia
Publisher :
Page : 0 pages
File Size : 25,94 MB
Release : 2019
Category : Commercial statistics
ISBN : 9781260239515
Revised edition of the authors' Essentials of business statistics, c2014.
Author : Emmanuel Chijioke Dibua
Publisher :
Page : 172 pages
File Size : 30,91 MB
Release : 2003
Category : Commercial statistics
ISBN :
Author : Sharma J.K.
Publisher : Vikas Publishing House
Page : 565 pages
File Size : 26,11 MB
Release :
Category : Business & Economics
ISBN : 9325976161
Fundamentals of Business Statistics is intended to serve as a core textbook for undergraduate students of BBA, BCA, B Com and CA, ICWA and those who need to understand the basic concepts of business statistics and apply results directly to real-life business problems. The book also suits the requirement of students of AMIE, who need both theoretical and practical knowledge of business statistics. The second edition has been extensively revised with the objective of enhancing and strengthening the conceptual, as well as practical knowledge of readers about various techniques of business statistics. Its easy-to-understand approach will enable readers to develop the required skills and apply statistical techniques to decision-making problems. With a completely new look and feel, this book will facilitate the teaching of business statistics techniques as well as enhance the learning experience for students. New in This Edition • Completely revised and reorganized text to make explanations more cogent through relevant and interesting examples. • Large number of new business-oriented solved as well as practice problems representing the various business statistics techniques. • Explanations well illustrated with numerous interesting and varied business-oriented examples. • Pedagogical features like Conceptual Questions, Self Practice Problems with Hints and Answers. • Complete conformity to the latest trends of questions appearing in universities and professional examinations.
Author : Andrew F. Siegel
Publisher : McGraw-Hill Companies
Page : 0 pages
File Size : 22,47 MB
Release : 1996-08
Category :
ISBN : 9780256242171
Practical Business Statistics, 5/e was written in response to instructors not wanting a formula driven, mathematically encyclopedic book. The use of computer applications means some topics no longer require coverage in detail. This allows future managers to know how to use and understand statistics. The text does this by using examples with real data that relate to the functional areas of business such as finance, accounting, and marketing. It de-emphasizes the theoretical, and presents the material in a well-written, easy style designed to motivate students. The emphasis is on understanding and applications as opposed to mathematical precision and formula detail.