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


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Автор: Gupta Manish, Shaheen Musarrat, Reddy K. Prathap
Название:  Qualitative Techniques for Workplace Data Analysis
ISBN: 9781522588412
Издательство: Mare Nostrum (Eurospan)
Классификация:


ISBN-10: 1522588418
Обложка/Формат: Paperback
Страницы: 340
Вес: 0.59 кг.
Дата издания: 13.12.2018
Язык: English
Размер: 25.40 x 17.81 x 1.80 cm
Читательская аудитория: General (us: trade)
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Поставляется из: Англии
Описание: Discusses the qualitative methods used to analyse workplace data, as well as what measures should be adopted to ensure the credibility and dependability of qualitative findings in the workplace. The book features research on a range of topics, including collection methods, content analysis, and sampling.


Data analysis for business, economics, and policy

Автор: Bekes, Gabor Kezdi, Gabor (university Of Michigan,
Название: Data analysis for business, economics, and policy
ISBN: 1108716202 ISBN-13(EAN): 9781108716208
Издательство: Cambridge Academ
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Цена: 7918.00 р.
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Описание: Equips future data analysts with the skills they need to answer questions in business, economics, and public policy. Covering methods of exploratory, predictive, and causal analysis, it includes case studies that use real-world data and related data exercises supported by code (Stata, R, Python) and data available online.

Qualitative Techniques for Workplace Data Analysis

Автор: Manish Gupta, Musarrat Shaheen, K. Prathap Reddy
Название: Qualitative Techniques for Workplace Data Analysis
ISBN: 1522553665 ISBN-13(EAN): 9781522553663
Издательство: Mare Nostrum (Eurospan)
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Цена: 31324.00 р.
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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.

Statistical and econometric methods for transportation data analysis

Автор: Washington, Simon Mannering, Fred (university Of S
Название: Statistical and econometric methods for transportation data analysis
ISBN: 0367199025 ISBN-13(EAN): 9780367199029
Издательство: Taylor&Francis
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Цена: 17609.00 р.
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Описание: Describing tools commonly used in the field, this textbook provides an understanding of a broad range of analytical tools required to solve transportation problems. It includes a wide breadth of examples and case studies in various aspects of transportation planning, engineering, safety, and economics.

Computational Bayesian Statistics: An Introduction

Автор: M. Antonia Amaral Turkman, Carlos Daniel Paulino, Peter Muller
Название: Computational Bayesian Statistics: An Introduction
ISBN: 1108481035 ISBN-13(EAN): 9781108481038
Издательство: Cambridge Academ
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Цена: 17424.00 р.
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Описание: This book explains the fundamental ideas of Bayesian analysis, with a focus on computational methods such as MCMC and available software such as R/R-INLA, OpenBUGS, JAGS, Stan, and BayesX. It is suitable as a textbook for a first graduate-level course and as a user`s guide for researchers and graduate students from beyond statistics.

Cambridge Series in Statistical and Probabilistic Mathematic

Автор: Wainwright Martin J
Название: Cambridge Series in Statistical and Probabilistic Mathematic
ISBN: 1108498027 ISBN-13(EAN): 9781108498029
Издательство: Cambridge Academ
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Цена: 10771.00 р.
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Описание: Recent years have seen an explosion in the volume and variety of data collected in scientific disciplines from astronomy to genetics and industrial settings ranging from Amazon to Uber. This graduate text equips readers in statistics, machine learning, and related fields to understand, apply, and adapt modern methods suited to large-scale data.

Institute of Mathematical Statistics Textbooks

Автор: Amaral Turkman Maria Antуnia
Название: Institute of Mathematical Statistics Textbooks
ISBN: 1108703747 ISBN-13(EAN): 9781108703741
Издательство: Cambridge Academ
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Цена: 6019.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book explains the fundamental ideas of Bayesian analysis, with a focus on computational methods such as MCMC and available software such as R/R-INLA, OpenBUGS, JAGS, Stan, and BayesX. It is suitable as a textbook for a first graduate-level course and as a user`s guide for researchers and graduate students from beyond statistics.

Introduction To Functional Data Ana

Автор: Kokoszka
Название: Introduction To Functional Data Ana
ISBN: 1498746349 ISBN-13(EAN): 9781498746342
Издательство: Taylor&Francis
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Цена: 13779.00 р.
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Описание: The book provides an introduction to functional data analysis (FDA), useful to students and researchers. FDA is now generally viewed as a fundamental subfield of statistics. FDA methods have been applied to science, business and engineering.

Cambridge series in statistical and probabilistic mathematics

Автор: Bouveyron, Charles Celeux, Gilles Murphy, T. Brendan (university College Dublin) Raftery, Adrian E. (university Of Washington)
Название: Cambridge series in statistical and probabilistic mathematics
ISBN: 110849420X ISBN-13(EAN): 9781108494205
Издательство: Cambridge Academ
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Цена: 11563.00 р.
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Описание: This accessible but rigorous introduction is written for advanced undergraduates and beginning graduate students in data science, as well as researchers and practitioners. It shows how a statistical framework yields sound estimation, testing and prediction methods, using extensive data examples and providing R code for many methods.

Statistical Analysis of Financial Data

Автор: Gentle, James
Название: Statistical Analysis of Financial Data
ISBN: 1138599492 ISBN-13(EAN): 9781138599499
Издательство: Taylor&Francis
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Цена: 15310.00 р.
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Описание: The book is about financial data - security prices and prices of derivatives, and the statistical methods for analyzing such data. It covers statistical models of branching processes, linear discrete time series models, and continuous-time stochastic models, all at an intermediate level (advanced undergraduate or beginning graduate).

Analysis Of Integrated Data

Автор: Zhang
Название: Analysis Of Integrated Data
ISBN: 1498727980 ISBN-13(EAN): 9781498727983
Издательство: Taylor&Francis
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Цена: 16843.00 р.
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Описание: Analysis of Integrated Data aims to provide a solid theoretical basis for this statistical analysis in three generic settings of entity ambiguity.

Risk Assessment & Decision Analysis

Автор: Fenton
Название: Risk Assessment & Decision Analysis
ISBN: 1138035114 ISBN-13(EAN): 9781138035119
Издательство: Taylor&Francis
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Цена: 10104.00 р.
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Описание: Since the first edition of this book published, Bayesian networks have become even more important for applications in a vast array of fields. This second edition includes new material on influence diagrams, learning from data, value of information, cybersecurity, debunking bad statistics, and much more.

Fundamental Statistics for the Social, Behavioral, and Health Sciences

Автор: Padilla Miguel a.
Название: Fundamental Statistics for the Social, Behavioral, and Health Sciences
ISBN: 1793522006 ISBN-13(EAN): 9781793522009
Издательство: Mare Nostrum (Eurospan)
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Цена: 16909.00 р.
Наличие на складе: Нет в наличии.

Описание: Fundamental Statistics for the Social, Behavioral, and Health Sciences presents students with instructional material in a clear, concise way and features exercises that get students thinking about how to use statistics in applied settings.

The text opens with coverage of foundational concepts in descriptive statistics, including frequency distribution, central tendency, and variability. Additional chapters guide students through their first journey into inferential statistics.

The book is highly accessible, features clear examples and graphs, and challenges students to apply what they learn to a variety of situations. It includes step-by-step instructions on using IBM SPSS Statistics.

The second edition includes a new chapter on Chi-Square statistics. Additionally, information and examples throughout the text have been updated.

Fundamental Statistics for the Social, Behavioral, and Health Sciences is an ideal resource for foundational courses in statistics.


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