Statistical Analysis Of Management Data

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Statistical Analysis of Management Data

Author : Hubert Gatignon
Publisher : Springer Science & Business Media
ISBN 13 : 1441912703
Total Pages : 396 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Statistical Analysis of Management Data by : Hubert Gatignon

Download or read book Statistical Analysis of Management Data written by Hubert Gatignon and published by Springer Science & Business Media. This book was released on 2010-01-08 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Analysis of Management Data provides a comprehensive approach to multivariate statistical analyses that are important for researchers in all fields of management, including finance, production, accounting, marketing, strategy, technology, and human resources. This book is especially designed to provide doctoral students with a theoretical knowledge of the concepts underlying the most important multivariate techniques and an overview of actual applications. It offers a clear, succinct exposition of each technique with emphasis on when each technique is appropriate and how to use it. This second edition, fully revised, updated, and expanded, reflects the most current evolution in the methods for data analysis in management and the social sciences. In particular, it places a greater emphasis on measurement models, and includes new chapters and sections on: confirmatory factor analysis canonical correlation analysis cluster analysis analysis of covariance structure multi-group confirmatory factor analysis and analysis of covariance structures. Featuring numerous examples, the book may serve as an advanced text or as a resource for applied researchers in industry who want to understand the foundations of the methods and to learn how they can be applied using widely available statistical software.

Using R for Data Management, Statistical Analysis, and Graphics

Author : Nicholas J. Horton
Publisher : CRC Press
ISBN 13 : 1439827567
Total Pages : 299 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Using R for Data Management, Statistical Analysis, and Graphics by : Nicholas J. Horton

Download or read book Using R for Data Management, Statistical Analysis, and Graphics written by Nicholas J. Horton and published by CRC Press. This book was released on 2010-07-28 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quick and Easy Access to Key Elements of Documentation Includes worked examples across a wide variety of applications, tasks, and graphicsUsing R for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in R, without having to navigate through the extensive, idiosyncratic, and sometimes

SAS and R

Author : Ken Kleinman
Publisher : CRC Press
ISBN 13 : 1420070592
Total Pages : 325 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis SAS and R by : Ken Kleinman

Download or read book SAS and R written by Ken Kleinman and published by CRC Press. This book was released on 2009-07-21 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: An All-in-One Resource for Using SAS and R to Carry out Common TasksProvides a path between languages that is easier than reading complete documentationSAS and R: Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in both SAS and R, without having to navigate through the extensive, id

Statistical Analysis of Management Data

Author : Hubert Gatignon
Publisher : Springer Science & Business Media
ISBN 13 : 1461485940
Total Pages : 576 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Statistical Analysis of Management Data by : Hubert Gatignon

Download or read book Statistical Analysis of Management Data written by Hubert Gatignon and published by Springer Science & Business Media. This book was released on 2013-10-17 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Analysis of Management Data provides a comprehensive approach to multivariate statistical analyses that are important for researchers in all fields of management, including finance, production, accounting, marketing, strategy, technology, and human resources. This book is especially designed to provide doctoral students with a theoretical knowledge of the concepts underlying the most important multivariate techniques and an overview of actual applications. It offers a clear, succinct exposition of each technique with emphasis on when each technique is appropriate and how to use it. This third edition, fully revised, updated, and expanded, reflects the most current evolution in the methods for data analysis in management and the social sciences. In particular, this edition includes: · A new chapter on the analysis of mediation and moderation effects · Examples using STATA for most of the statistical methods · Example of XLSTAT applications Featuring numerous examples, the book may serve as an advanced text or as a resource for applied researchers in industry who want to understand the foundations of the methods particularly relevant and typically used in management research, and to learn how they can be applied using widely available statistical software.

Using R and RStudio for Data Management, Statistical Analysis, and Graphics

Author : Nicholas J. Horton
Publisher : CRC Press
ISBN 13 : 1482237377
Total Pages : 280 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Using R and RStudio for Data Management, Statistical Analysis, and Graphics by : Nicholas J. Horton

Download or read book Using R and RStudio for Data Management, Statistical Analysis, and Graphics written by Nicholas J. Horton and published by CRC Press. This book was released on 2015-03-10 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the aspects of R most often used by statistical analysts. Incorporating the use of RStudio and the latest R packages, this second edition offers new chapters on simulation, special topics, and case studies. It reorganizes and enhances the chapters on data input and output, data management, statistical and mathematical functions, programming, high-level graphics plots, and the customization of plots. It also provides a detailed discussion of the philosophy and use of the knitr and markdown packages for R.

Handbook of Statistical Analysis and Data Mining Applications

Author : Ken Yale
Publisher : Elsevier
ISBN 13 : 0124166458
Total Pages : 824 pages
Book Rating : 4.1/5 (241 download)

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Book Synopsis Handbook of Statistical Analysis and Data Mining Applications by : Ken Yale

Download or read book Handbook of Statistical Analysis and Data Mining Applications written by Ken Yale and published by Elsevier. This book was released on 2017-11-09 with total page 824 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas—from science and engineering, to medicine, academia and commerce. - Includes input by practitioners for practitioners - Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models - Contains practical advice from successful real-world implementations - Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions - Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications

Using SAS for Data Management, Statistical Analysis, and Graphics

Author : Ken Kleinman
Publisher : CRC Press
ISBN 13 : 1439827583
Total Pages : 308 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Using SAS for Data Management, Statistical Analysis, and Graphics by : Ken Kleinman

Download or read book Using SAS for Data Management, Statistical Analysis, and Graphics written by Ken Kleinman and published by CRC Press. This book was released on 2010-07-28 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quick and Easy Access to Key Elements of Documentation Includes worked examples across a wide variety of applications, tasks, and graphicsA unique companion for statistical coders, Using SAS for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in SAS, without having to navigate thro

Data Analysis in Management with SPSS Software

Author : J.P. Verma
Publisher : Springer Science & Business Media
ISBN 13 : 8132207866
Total Pages : 499 pages
Book Rating : 4.1/5 (322 download)

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Book Synopsis Data Analysis in Management with SPSS Software by : J.P. Verma

Download or read book Data Analysis in Management with SPSS Software written by J.P. Verma and published by Springer Science & Business Media. This book was released on 2012-12-13 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides readers with a greater understanding of a variety of statistical techniques along with the procedure to use the most popular statistical software package SPSS. It strengthens the intuitive understanding of the material, thereby increasing the ability to successfully analyze data in the future. The book provides more control in the analysis of data so that readers can apply the techniques to a broader spectrum of research problems. This book focuses on providing readers with the knowledge and skills needed to carry out research in management, humanities, social and behavioural sciences by using SPSS.

Data Management and Statistical Analysis Techniques

Author : Ronin Myers
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (139 download)

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Book Synopsis Data Management and Statistical Analysis Techniques by : Ronin Myers

Download or read book Data Management and Statistical Analysis Techniques written by Ronin Myers and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Analysis of Management Data

Author : Hubert Gatignon
Publisher : Springer Science & Business Media
ISBN 13 : 0306481650
Total Pages : 341 pages
Book Rating : 4.3/5 (64 download)

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Book Synopsis Statistical Analysis of Management Data by : Hubert Gatignon

Download or read book Statistical Analysis of Management Data written by Hubert Gatignon and published by Springer Science & Business Media. This book was released on 2007-05-08 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Analysis of Management Data is especially designed to provide doctoral students with a theoretical knowledge of the basic concepts underlying the most important multivariate techniques and with an overview of actual applications in various fields. The content herein addresses both the underlying mathematics and problems of application. As such, a reasonable level of competence in both statistics and mathematics is needed. This book is not intended as a first introduction to statistics and statistical analysis. Instead it assumes that the student is familiar with basic statistical techniques. The techniques are presented in a fundamental way but in a format accessible to students in a doctoral program, to practicing academicians, and to data analysts.

Statistical Analysis of Management Data

Author : Amy Skinner
Publisher :
ISBN 13 : 9781684696833
Total Pages : pages
Book Rating : 4.6/5 (968 download)

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Book Synopsis Statistical Analysis of Management Data by : Amy Skinner

Download or read book Statistical Analysis of Management Data written by Amy Skinner and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Analysis of Cost-Effectiveness Data

Author : Andrew R. Willan
Publisher : John Wiley & Sons
ISBN 13 : 0470856270
Total Pages : 210 pages
Book Rating : 4.4/5 (78 download)

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Book Synopsis Statistical Analysis of Cost-Effectiveness Data by : Andrew R. Willan

Download or read book Statistical Analysis of Cost-Effectiveness Data written by Andrew R. Willan and published by John Wiley & Sons. This book was released on 2006-08-14 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: The statistical analysis of cost-effectiveness data is becoming increasingly important within health and medical research. Statistical Analysis of Cost-Effectiveness Data provides a practical book that synthesises the huge amount of research that has taken place in the area over the last two decades. Comprising an up-to-date overview of the statistical analysis of cost-effectiveness data, the book is supported by numerous worked examples from the author’s own experience. It has been written in a style suitable for medical statisticians and health care professionals alike. Key features include: an overview of statistical methods used in the analysis of cost-effectiveness data. coverage of Bayesian methodology. illustrated throughout by worked examples using real data. suitability for health care professionals with limited statistical knowledge. discussion of software used for data analysis. An essential reference for biostatisticians and health economists engaged in cost-effectiveness analysis of health-care interventions, both in academia and industry. Also of interest to graduate students of biostatistics, public health and economics.

SAS and R

Author : Ken Kleinman
Publisher : CRC Press
ISBN 13 : 1466584491
Total Pages : 473 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis SAS and R by : Ken Kleinman

Download or read book SAS and R written by Ken Kleinman and published by CRC Press. This book was released on 2014-07-17 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Up-to-Date, All-in-One Resource for Using SAS and R to Perform Frequent Tasks The first edition of this popular guide provided a path between SAS and R using an easy-to-understand, dictionary-like approach. Retaining the same accessible format, SAS and R: Data Management, Statistical Analysis, and Graphics, Second Edition explains how to easily perform an analytical task in both SAS and R, without having to navigate through the extensive, idiosyncratic, and sometimes unwieldy software documentation. The book covers many common tasks, such as data management, descriptive summaries, inferential procedures, regression analysis, and graphics, along with more complex applications. New to the Second Edition This edition now covers RStudio, a powerful and easy-to-use interface for R. It incorporates a number of additional topics, including using application program interfaces (APIs), accessing data through database management systems, using reproducible analysis tools, and statistical analysis with Markov chain Monte Carlo (MCMC) methods and finite mixture models. It also includes extended examples of simulations and many new examples. Enables Easy Mobility between the Two Systems Through the extensive indexing and cross-referencing, users can directly find and implement the material they need. SAS users can look up tasks in the SAS index and then find the associated R code while R users can benefit from the R index in a similar manner. Numerous example analyses demonstrate the code in action and facilitate further exploration. The datasets and code are available for download on the book’s website.

Cryptanalysis of RSA and Its Variants

Author : M. Jason Hinek
Publisher : CRC Press
ISBN 13 : 1420075195
Total Pages : 272 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Cryptanalysis of RSA and Its Variants by : M. Jason Hinek

Download or read book Cryptanalysis of RSA and Its Variants written by M. Jason Hinek and published by CRC Press. This book was released on 2009-07-21 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thirty years after RSA was first publicized, it remains an active research area. Although several good surveys exist, they are either slightly outdated or only focus on one type of attack. Offering an updated look at this field, Cryptanalysis of RSA and Its Variants presents the best known mathematical attacks on RSA and its main variants, includin

The Statistical Analysis of Discrete Data

Author : Thomas J. Santner
Publisher : Springer Science & Business Media
ISBN 13 : 1461210178
Total Pages : 381 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis The Statistical Analysis of Discrete Data by : Thomas J. Santner

Download or read book The Statistical Analysis of Discrete Data written by Thomas J. Santner and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Statistical Analysis of Discrete Data provides an introduction to cur rent statistical methods for analyzing discrete response data. The book can be used as a course text for graduate students and as a reference for researchers who analyze discrete data. The book's mathematical prereq uisites are linear algebra and elementary advanced calculus. It assumes a basic statistics course which includes some decision theory, and knowledge of classical linear model theory for continuous response data. Problems are provided at the end of each chapter to give the reader an opportunity to ap ply the methods in the text, to explore extensions of the material covered, and to analyze data with discrete responses. In the text examples, and in the problems, we have sought to include interesting data sets from a wide variety of fields including political science, medicine, nuclear engineering, sociology, ecology, cancer research, library science, and biology. Although there are several texts available on discrete data analysis, we felt there was a need for a book which incorporated some of the myriad recent research advances. Our motivation was to introduce the subject by emphasizing its ties to the well-known theories of linear models, experi mental design, and regression diagnostics, as well as to describe alterna tive methodologies (Bayesian, smoothing, etc. ); the latter are based on the premise that external information is available. These overriding goals, to gether with our own experiences and biases, have governed our choice of topics.

Statistical Data Analysis Explained

Author : Clemens Reimann
Publisher : John Wiley & Sons
ISBN 13 : 1119965284
Total Pages : 380 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis Statistical Data Analysis Explained by : Clemens Reimann

Download or read book Statistical Data Analysis Explained written by Clemens Reimann and published by John Wiley & Sons. This book was released on 2011-08-31 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: Few books on statistical data analysis in the natural sciences are written at a level that a non-statistician will easily understand. This is a book written in colloquial language, avoiding mathematical formulae as much as possible, trying to explain statistical methods using examples and graphics instead. To use the book efficiently, readers should have some computer experience. The book starts with the simplest of statistical concepts and carries readers forward to a deeper and more extensive understanding of the use of statistics in environmental sciences. The book concerns the application of statistical and other computer methods to the management, analysis and display of spatial data. These data are characterised by including locations (geographic coordinates), which leads to the necessity of using maps to display the data and the results of the statistical methods. Although the book uses examples from applied geochemistry, and a large geochemical survey in particular, the principles and ideas equally well apply to other natural sciences, e.g., environmental sciences, pedology, hydrology, geography, forestry, ecology, and health sciences/epidemiology. The book is unique because it supplies direct access to software solutions (based on R, the Open Source version of the S-language for statistics) for applied environmental statistics. For all graphics and tables presented in the book, the R-scripts are provided in the form of executable R-scripts. In addition, a graphical user interface for R, called DAS+R, was developed for convenient, fast and interactive data analysis. Statistical Data Analysis Explained: Applied Environmental Statistics with R provides, on an accompanying website, the software to undertake all the procedures discussed, and the data employed for their description in the book.

Statistical Analysis of Financial Data in S-Plus

Author : René Carmona
Publisher : Springer Science & Business Media
ISBN 13 : 0387218246
Total Pages : 456 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Statistical Analysis of Financial Data in S-Plus by : René Carmona

Download or read book Statistical Analysis of Financial Data in S-Plus written by René Carmona and published by Springer Science & Business Media. This book was released on 2006-04-18 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book at the graduate textbook level to discuss analyzing financial data with S-PLUS. Its originality lies in the introduction of tools for the estimation and simulation of heavy tail distributions and copulas, the computation of measures of risk, and the principal component analysis of yield curves. The book is aimed at undergraduate students in financial engineering; master students in finance and MBA's, and to practitioners with financial data analysis concerns.