Statistical Tools and Analysis in Human Resources Management, Dipak Kumar Bhattacharyya
Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman Название: The Elements of Statistical Learning ISBN: 0387848576 ISBN-13(EAN): 9780387848570 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.
Автор: Malley Название: Statistical Learning for Biomedical Data ISBN: 0521699096 ISBN-13(EAN): 9780521699099 Издательство: Cambridge Academ Рейтинг: Цена: 6494.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Biomedical researchers need machine learning techniques to make predictions such as survival/death or response to treatment when data sets are large and complex. This highly motivating introduction to these machines explains underlying principles in nontechnical language, using many examples and figures, and connects these new methods to familiar techniques.
Автор: Reiche B. Sebastian Название: International Human Resource Management, 5 ed. ISBN: 1526426978 ISBN-13(EAN): 9781526426970 Издательство: Sage Publications Рейтинг: Цена: 5654.00 р. 8077.00-30% Наличие на складе: Есть (1 шт.) Описание: Used by over 25,000 students across 130 countries, this bestselling text, written by leading international experts in each topic, retains its critical edge, academic rigour and breadth of coverage in the new fifth edition. The new edition reflects the contemporary debates and emerging issues in the field of IHRM, supplementing classic theories and models with recent research and international developments. Divided into three parts, the first section looks at the ways of thinking about IHRM theory and practice; the second section deals with multinational companies and how they manage their workforce around the world; the final section looks at both traditional and newer approaches to IHRM policies and practices. A selection of up-to-date examples from across the globe are used to support the text, including Uber’s regulatory challenges across Europe, the gig economy, employment rights after Brexit, health insurance for part-timers in the US and EU, attracting and retaining ‘millennials’, the world’s happiest and unhappiest countries, and CSR in Hong Kong. The book is complemented by free online resources for lecturers and students, including PowerPoint slides, additional case studies, SAGE video clips with critical thinking questions, free SAGE journal articles for every chapter, annotated useful weblinks, and suggested answers to self-assessment questions. Suitable reading for upper-undergraduate and masters level students on IHRM modules.
Название: The Handbook of Work Analysis ISBN: 1138107662 ISBN-13(EAN): 9781138107663 Издательство: Taylor&Francis Рейтинг: Цена: 8420.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This new handbook, with contributions from experts around the world, is the most comprehensive treatise on work design and job analysis practice and research in over 20 years. The handbook, dedicated to Sidney Gael, is the next generation of Gael’s successful Job Analysis Handbook for Business, Industry and Government, published by Wiley in 1988. It consists of four parts: Methods, Systems, Applications and Research/Innovations. Finally, a tightly integrated, user-friendly handbook, of interest to students, practitioners and researchers in the field of Industrial Organizational Psychology and Human Resource Management. Sample Chapter available: Chapter 24, Training Needs Assessment by Eric A. Surface is available for download.
Название: Recent Developments in Job Analysis ISBN: 0415789761 ISBN-13(EAN): 9780415789769 Издательство: Taylor&Francis Рейтинг: Цена: 6123.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The main objective of this title, which was first published in 1989, was to bring together researchers and practitioners from industry and academia who were interested in ergonomics and psychological aspects of job analysis. This title will be of particular interest to students of human resource management.
Автор: Agarwal Название: Statistical Methods for Recommender Systems ISBN: 1107036070 ISBN-13(EAN): 9781107036079 Издательство: Cambridge Academ Рейтинг: Цена: 7602.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Designing algorithms to recommend items such as news articles and movies to users is a challenging task in numerous web applications. The crux of the problem is to rank items based on users' responses to different items to optimize for multiple objectives. Major technical challenges are high dimensional prediction with sparse data and constructing high dimensional sequential designs to collect data for user modeling and system design. This comprehensive treatment of the statistical issues that arise in recommender systems includes detailed, in-depth discussions of current state-of-the-art methods such as adaptive sequential designs (multi-armed bandit methods), bilinear random-effects models (matrix factorization) and scalable model fitting using modern computing paradigms like MapReduce. The authors draw upon their vast experience working with such large-scale systems at Yahoo! and LinkedIn, and bridge the gap between theory and practice by illustrating complex concepts with examples from applications they are directly involved with.
Автор: Jac Fitz?€“enz,John Mattox II Название: Predictive Analytics for Human Resources ISBN: 1118893670 ISBN-13(EAN): 9781118893678 Издательство: Wiley Рейтинг: Цена: 6178.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Create and run a human resource analytics project with confidence For any human resource professional that wants to harness the power of analytics, this essential resource answers the questions: "Where do I start?" and "What tools are available?" Predictive Analytics for Human Resources is designed to answer these and other vital questions.
Автор: Worren, Nicolay (norwegian University Of Life Sciences, Norway) Название: Organization design 2e ISBN: 1138502863 ISBN-13(EAN): 9781138502864 Издательство: Taylor&Francis Рейтинг: Цена: 7434.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Organization Design equips the reader with advanced tools and frameworks, based on both research and practical experience, for understanding and re-designing organisations. This updated second edition includes a new chapter about traditional organizational forms, and is complemented by a companion website.
Автор: Bradley Efron and Trevor Hastie Название: Computer Age Statistical Inference ISBN: 1107149894 ISBN-13(EAN): 9781107149892 Издательство: Cambridge Academ Рейтинг: Цена: 9029.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.
Описание: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.
Автор: Kohler Название: Data Analysis Using Stata, Third Edition ISBN: 1597181102 ISBN-13(EAN): 9781597181105 Издательство: Taylor&Francis Рейтинг: Цена: 11176.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Data Analysis Using Stata, Third Edition is a comprehensive introduction to both statistical methods and Stata. Beginners will learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. Readers already familiar with Stata will find it an enjoyable resource for picking up new tips and tricks.
The book is written as a self-study tutorial and organized around examples. It interactively introduces statistical techniques such as data exploration, description, and regression techniques for continuous and binary dependent variables. Step by step, readers move through the entire process of data analysis and in doing so learn the principles of Stata, data manipulation, graphical representation, and programs to automate repetitive tasks. This third edition includes advanced topics, such as factor-variables notation, average marginal effects, standard errors in complex survey, and multiple imputation in a way, that beginners of both data analysis and Stata can understand.
Using data from a longitudinal study of private households, the authors provide examples from the social sciences that are relatable to researchers from all disciplines. The examples emphasize good statistical practice and reproducible research. Readers are encouraged to download the companion package of datasets to replicate the examples as they work through the book. Each chapter ends with exercises to consolidate acquired skills.
Written in simple language with relevant examples, Statistical Methods in Biology: Design and Analysis of Experiments and Regression is a practical and illustrative guide to the design of experiments and data analysis in the biological and agricultural sciences. The book presents statistical ideas in the context of biological and agricultural sciences to which they are being applied, drawing on relevant examples from the authors' experience.
Taking a practical and intuitive approach, the book only uses mathematical formulae to formalize the methods where necessary and appropriate. The text features extended discussions of examples that include real data sets arising from research. The authors analyze data in detail to illustrate the use of basic formulae for simple examples while using the GenStat(R) statistical package for more complex examples. Each chapter offers instructions on how to obtain the example analyses in GenStat and R.
By the time you reach the end of the book (and online material) you will have gained:
A clear appreciation of the importance of a statistical approach to the design of your experiments,
A sound understanding of the statistical methods used to analyse data obtained from designed experiments and of the regression approaches used to construct simple models to describe the observed response as a function of explanatory variables,
Sufficient knowledge of how to use one or more statistical packages to analyse data using the approaches described, and most importantly,
An appreciation of how to interpret the results of these statistical analyses in the context of the biological or agricultural science within which you are working.
The book concludes with a guide to practical design and data analysis. It gives you the understanding to better interact with consultant statisticians and to identify statistical approaches to add value to your scientific research.
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