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Qualitative Techniques for Workplace Data Analysis, Manish Gupta, Musarrat Shaheen, K. Prathap Reddy


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Автор: Manish Gupta, Musarrat Shaheen, K. Prathap Reddy
Название:  Qualitative Techniques for Workplace Data Analysis
ISBN: 9781522553663
Издательство: Mare Nostrum (Eurospan)
Классификация:




ISBN-10: 1522553665
Обложка/Формат: Hardcover
Страницы: 323
Вес: 0.81 кг.
Дата издания: 30.07.2018
Серия: Economics/Business/Finance
Язык: English
Размер: 254 x 178 x 21
Читательская аудитория: Professional and scholarly
Ключевые слова: Economics, finance, business & management,Economics,Economic statistics,Information technology: general issues, BUSINESS & ECONOMICS / General,BUSINESS & ECONOMICS / Statistics,COMPUTERS / Data Processing
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Поставляется из: Англии
Описание: In businesses and organizations, understanding the social reality of individuals, groups, and cultures allows for in-depth understanding and rich analysis of multiple research areas to improve practices. Qualitative research provides important insight into the interactions of the workplace.Qualitative Techniques for Workplace Data Analysis is an essential reference source that discusses the qualitative methods used to analyze workplace data, as well as what measures should be adopted to ensure the credibility and dependability of qualitative findings in the workplace. Featuring research on topics such as collection methods, content analysis, and sampling, this book is ideally designed for academicians, development practitioners, business managers, and analytic professionals seeking coverage on quality measurement techniques in the occupational settings of emerging markets.


Analysis of Panel Data

Автор: Hsiao, Cheng,
Название: Analysis of Panel Data
ISBN: 1107657636 ISBN-13(EAN): 9781107657632
Издательство: Cambridge Academ
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Цена: 5859.00 р.
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Описание: This book provides a comprehensive, coherent, and intuitive review of panel data methodologies that are useful for empirical analysis. Substantially revised from the second edition, it includes two new chapters on modeling cross-sectionally dependent data and dynamic systems of equations. Some of the more complicated concepts have been further streamlined. Other new material includes correlated random coefficient models, pseudo-panels, duration and count data models, quantile analysis, and alternative approaches for controlling the impact of unobserved heterogeneity in nonlinear panel data models.

Analysis of Multivariate and High-Dimensional Data

Автор: Koch
Название: Analysis of Multivariate and High-Dimensional Data
ISBN: 0521887933 ISBN-13(EAN): 9780521887939
Издательство: Cambridge Academ
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Цена: 10613.00 р.
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Описание: `Big data` poses challenges that require both classical multivariate methods and modern machine-learning techniques. This coherent treatment integrates theory with data analysis, visualisation and interpretation of the analysis. Problems, data sets and MATLAB (R) code complete the package. It is suitable for master`s/graduate students in statistics and working scientists in data-rich disciplines.

Data envelopment analysis :

Автор: Cooper, William W.
Название: Data envelopment analysis :
ISBN: 1489978798 ISBN-13(EAN): 9781489978790
Издательство: Springer
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Цена: 12850.00 р.
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Описание: This volume details basic principles and new developments in Data Envelopment Analysis (DEA). New material in this edition includes coverage of recent developments that have greatly extended the power and scope of DEA.

The Econometric Analysis of Non-Stationary Spatial Panel Data

Автор: Beenstock, Michael, Felsenstein, Daniel
Название: The Econometric Analysis of Non-Stationary Spatial Panel Data
ISBN: 3030036138 ISBN-13(EAN): 9783030036133
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This monograph deals with spatially dependent non-stationary time series in a way accessible to both time series econometricians wanting to understand spatial econometics, and spatial econometricians lacking a grounding in time series analysis.

Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner

Автор: Galit Shmueli, Peter C. Bruce, Nitin R. Patel
Название: Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner
ISBN: 1118729277 ISBN-13(EAN): 9781118729274
Издательство: Wiley
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Цена: 17741.00 р.
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Описание: Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner(R), Third Edition presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies.

Computational Techniques for Econometrics and Economic Analysis

Автор: D.A. Belsley
Название: Computational Techniques for Econometrics and Economic Analysis
ISBN: 0792323564 ISBN-13(EAN): 9780792323563
Издательство: Springer
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Цена: 23757.00 р.
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Описание: Demonstrates the power that the computer brings to the economic analysts. This book is divided into four parts: the computer and econometric methods; the computer and economic analysis; computational techniques for econometrics; and, the computer and econometric studies.

Computational Techniques for Econometrics and Economic Analysis

Автор: D.A. Belsley
Название: Computational Techniques for Econometrics and Economic Analysis
ISBN: 9048142903 ISBN-13(EAN): 9789048142903
Издательство: Springer
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Цена: 23757.00 р.
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Tools and Techniques for Economic Decision Analysis

Автор: Stankovic Jelena, Delias Pavlos, Marinkovic Srđan
Название: Tools and Techniques for Economic Decision Analysis
ISBN: 1522509593 ISBN-13(EAN): 9781522509592
Издательство: Mare Nostrum (Eurospan)
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Цена: 29938.00 р.
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Описание: The success of any business relies heavily on the evaluation and improvement on current strategies and processes. Such progress can be facilitated by implementing more effective decision-making systems.Tools and Techniques for Economic Decision Analysis provides a thorough overview of decision models and methodologies in the context of business economics. Highlighting a variety of relevant issues on finance, economic policy, and firms and networks, this book is an ideal reference source for managers, professionals, students, and academics interested in emerging developments for decision analysis.

Methods of Housing Analysis: Techniques and Case Studies

Автор: James Hughes
Название: Methods of Housing Analysis: Techniques and Case Studies
ISBN: 1412848415 ISBN-13(EAN): 9781412848411
Издательство: Taylor&Francis
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Цена: 7654.00 р.
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Описание: In order to understand and formulate housing policy and programs, it is necessary to have a working knowledge of the internal economic operation of housing from the points of view of both the investor and the owner

Handbook for Applied Modeling: Non-Gaussian and Correlated Data

Автор: Jamie D. Riggs
Название: Handbook for Applied Modeling: Non-Gaussian and Correlated Data
ISBN: 1316601056 ISBN-13(EAN): 9781316601051
Издательство: Cambridge Academ
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Цена: 6019.00 р.
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Описание: Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing data that fail idealized assumptions. It explains and demonstrates core techniques, common pitfalls and data issues, and interpretation of model results, all with a focus on application, utility, and real-life data.

Econometric analysis of cross section and panel data 2e

Автор: Wooldridge JM
Название: Econometric analysis of cross section and panel data 2e
ISBN: 0262232588 ISBN-13(EAN): 9780262232586
Издательство: MIT Press
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Цена: 19468.00 р.
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Описание:

The second edition of a comprehensive state-of-the-art graduate level text on microeconometric methods, substantially revised and updated.

The second edition of this acclaimed graduate text provides a unified treatment of two methods used in contemporary econometric research, cross section and data panel methods. By focusing on assumptions that can be given behavioral content, the book maintains an appropriate level of rigor while emphasizing intuitive thinking. The analysis covers both linear and nonlinear models, including models with dynamics and/or individual heterogeneity. In addition to general estimation frameworks (particular methods of moments and maximum likelihood), specific linear and nonlinear methods are covered in detail, including probit and logit models and their multivariate, Tobit models, models for count data, censored and missing data schemes, causal (or treatment) effects, and duration analysis.

Econometric Analysis of Cross Section and Panel Data was the first graduate econometrics text to focus on microeconomic data structures, allowing assumptions to be separated into population and sampling assumptions. This second edition has been substantially updated and revised. Improvements include a broader class of models for missing data problems; more detailed treatment of cluster problems, an important topic for empirical researchers; expanded discussion of "generalized instrumental variables" (GIV) estimation; new coverage (based on the author's own recent research) of inverse probability weighting; a more complete framework for estimating treatment effects with panel data, and a firmly established link between econometric approaches to nonlinear panel data and the "generalized estimating equation" literature popular in statistics and other fields. New attention is given to explaining when particular econometric methods can be applied; the goal is not only to tell readers what does work, but why certain "obvious" procedures do not. The numerous included exercises, both theoretical and computer-based, allow the reader to extend methods covered in the text and discover new insights.

Handbook on Data Envelopment Analysis

Автор: William W. Cooper; Lawrence M. Seiford; Joe Zhu
Название: Handbook on Data Envelopment Analysis
ISBN: 1461429994 ISBN-13(EAN): 9781461429999
Издательство: Springer
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Цена: 22359.00 р.
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Описание: Focusing on extensively used Data Envelopment Analysis topics, this volume aims to both describe the state of the field and extend the frontier of DEA research. New chapters include DEA models for DMUs, network DEA, models for supply chain operations and applications, and new developments.


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