Statistical Methods Applied To Economics And Business
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Statistical Methods Applied To Economics And Business
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Author : Frederick Cecil Mills
language : en
Publisher:
Release Date : 1938
Statistical Methods Applied To Economics And Business written by Frederick Cecil Mills and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1938 with Business categories.
Statistical Methods Applied To Economic And Business
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Author : Frederick Cecil Mills
language : en
Publisher:
Release Date : 1940
Statistical Methods Applied To Economic And Business written by Frederick Cecil Mills and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1940 with categories.
Elementary Statistical Methods Applied To Economic And Business Data
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Author : William Addison Neiswanger
language : en
Publisher:
Release Date : 1941
Elementary Statistical Methods Applied To Economic And Business Data written by William Addison Neiswanger and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1941 with Statistics categories.
Applied Statistics And Multivariate Data Analysis For Business And Economics
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Author : Thomas Cleff
language : en
Publisher: Springer
Release Date : 2019-07-10
Applied Statistics And Multivariate Data Analysis For Business And Economics written by Thomas Cleff and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-10 with Business & Economics categories.
This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it demonstrates the methods of univariate, bivariate, and multivariate statistical analysis. The textbook covers a range of topics, from data collection and scaling to the presentation and simple univariate analysis of quantitative data, while also providing advanced analytical procedures for assessing multivariate relationships. Accordingly, it addresses all topics typically covered in university courses on statistics and advanced applied data analysis. In addition, it does not limit itself to presenting applied methods, but also discusses the related use of Excel, SPSS, and Stata.
An Outline Of Statistical Methods As Applied To Economics Business Education Social And Physical Sciences Etc
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Author : Herbert Arkin
language : en
Publisher:
Release Date : 1938
An Outline Of Statistical Methods As Applied To Economics Business Education Social And Physical Sciences Etc written by Herbert Arkin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1938 with Statistics categories.
Applied Statistical Methods For Business Economics And The Social Sciences
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Author : William L. Carlson
language : en
Publisher: Prentice Hall
Release Date : 1996-08-01
Applied Statistical Methods For Business Economics And The Social Sciences written by William L. Carlson and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-08-01 with categories.
Statistical Methods For Business And Economics
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Author : Roger C. Pfaffenberger
language : en
Publisher: Irwin Professional Publishing
Release Date : 1987
Statistical Methods For Business And Economics written by Roger C. Pfaffenberger and has been published by Irwin Professional Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Commerce categories.
Applied Data Mining
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Author : Paolo Giudici
language : en
Publisher: John Wiley & Sons
Release Date : 2005-09-27
Applied Data Mining written by Paolo Giudici and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-09-27 with Computers categories.
Data mining can be defined as the process of selection, explorationand modelling of large databases, in order to discover models andpatterns. The increasing availability of data in the currentinformation society has led to the need for valid tools for itsmodelling and analysis. Data mining and applied statistical methodsare the appropriate tools to extract such knowledge from data.Applications occur in many different fields, including statistics,computer science, machine learning, economics, marketing andfinance. This book is the first to describe applied data mining methodsin a consistent statistical framework, and then show how they canbe applied in practice. All the methods described are eithercomputational, or of a statistical modelling nature. Complexprobabilistic models and mathematical tools are not used, so thebook is accessible to a wide audience of students and industryprofessionals. The second half of the book consists of nine casestudies, taken from the author's own work in industry, thatdemonstrate how the methods described can be applied to realproblems. Provides a solid introduction to applied data mining methods ina consistent statistical framework Includes coverage of classical, multivariate and Bayesianstatistical methodology Includes many recent developments such as web mining,sequential Bayesian analysis and memory based reasoning Each statistical method described is illustrated with real lifeapplications Features a number of detailed case studies based on appliedprojects within industry Incorporates discussion on software used in data mining, withparticular emphasis on SAS Supported by a website featuring data sets, software andadditional material Includes an extensive bibliography and pointers to furtherreading within the text Author has many years experience teaching introductory andmultivariate statistics and data mining, and working on appliedprojects within industry A valuable resource for advanced undergraduate and graduatestudents of applied statistics, data mining, computer science andeconomics, as well as for professionals working in industry onprojects involving large volumes of data - such as in marketing orfinancial risk management.
Applied Statistical Methods For Business Economics And The Social Sciences
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Author : William L. Carlson
language : en
Publisher: Prentice Hall
Release Date : 1996-09-01
Applied Statistical Methods For Business Economics And The Social Sciences written by William L. Carlson and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-09-01 with categories.
Statistics For Economics Business Administration And The Social Sciences
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Author : Erling B. Andersen
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Statistics For Economics Business Administration And The Social Sciences written by Erling B. Andersen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Business & Economics categories.
This book is intended as a textbook for a first course in applied statistics for students of economics, public administration and business administration. A limited knowledge of mathematics and - in one single chapter - some knowledge of elementary matrix algebra is required for understanding the text. Complicated mathematical proofs are avoided and the explanations are based on intuition and numerical examples. The aim of this book is to enable the student to understand the reasoning underlying a statistical analysis and to apply statistical methods to problems likely to be met within the fields of economics, public administration and business administration. The topics covered by the book are: - methods for exploratory data analysis - probability theory and standard statistical distributions - statistical inference theory - and three main areas of application: regression analysis, survey sampling and contingency tables. The treatment of exploratory data analysis, regression analysis and the analysis of contingency tables are based on the most recent theoretical developments in these areas. Most of the examples have never been presented before in English textbooks.