Author: David J. Bartholomew Publisher: ISBN: Category : Business & Economics Languages : en Pages : 368
Book Description
The Second Edition continues to provide a sound basis of technical knowledge for the manpower planning professional. Basic theory is sufficiently covered but the aim is to provide tools for practical use. The presentation reflects recent developments in the wider use of microcomputers and includes new material on continuous time methods, the data needs of manpower planning plus new and revised formulae and case studies. Also contains numerous examples, exercises and solutions.
Author: David J. Bartholomew Publisher: ISBN: Category : Business & Economics Languages : en Pages : 314
Book Description
Textbook on statistical analysis methodologys relating to human resources planning - describes mathematical models based on markov-chain and renewal theories (attrition and labour turnover); discusses forecasting techniques regarding labour demand, and includes the baseqn computer programme for the statistical computing of career patterns. Bibliography pp. 273 to 282, diagrams and graphs.
Author: Bhattacharyya, Dipak Kumar Publisher: IGI Global ISBN: 152254948X Category : Business & Economics Languages : en Pages : 312
Book Description
Recently, the use of statistical tools, methodologies, and models in human resource management (HRM) has increased because of human resources (HR) analytics and predictive HR decision making. To utilize these technological tools, HR managers and students must increase their knowledge of the resources’ optimum application. Statistical Tools and Analysis in Human Resources Management is a critical scholarly resource that presents in-depth details on the application of statistics in every sphere of HR functions for optimal decision-making and analytical solutions. Featuring coverage on a broad range of topics such as leadership, industrial relations, training and development, and diversity management, this book is geared towards managers, professionals, upper-level students, administrators, and researchers seeking current information on the integration of HRM technologies.
Author: Ross Sparkman Publisher: Kogan Page Publishers ISBN: 0749482028 Category : Business & Economics Languages : en Pages : 281
Book Description
Strategic Workforce Planning is a practical guide to effectively assess, manage and prepare for current and future workforce requirements. It demystifies the often complex and seemingly technical world of strategic workforce planning to explain what it is, why it's necessary and most importantly, how to do it. Packed full of advice and real-world examples, Strategic Workforce Planning is a playbook for workforce planning from beginning to end. It enables HR professionals to answer core business questions including how do I analyze future hiring demand? How do I assess what skills will be required in the future? How should I prioritize investments like training and development? How do I assess the supply of talent around the world? How do I identify the business drivers that impact workforce demand? It also covers the impact of artificial intelligence (AI), automation and machine learning on the global workforce and how to deal with these implications. Whether you're a start-up, small business or a large corporate, this book will show you how to align people strategy with company strategy to ensure your organization maintains its competitive advantage.
Author: John M. Lachin Publisher: John Wiley & Sons ISBN: 0470317892 Category : Mathematics Languages : en Pages : 568
Book Description
Comprehensive coverage of classical and modern methods of biostatistics Biostatistical Methods focuses on the assessment of risks and relative risks on the basis of clinical investigations. It develops basic concepts and derives biostatistical methods through both the application of classical mathematical statistical tools and more modern likelihood-based theories. The first half of the book presents methods for the analysis of single and multiple 2x2 tables for cross-sectional, prospective, and retrospective (case-control) sampling, with and without matching using fixed and two-stage random effects models. The text then moves on to present a more modern likelihood- or model-based approach, which includes unconditional and conditional logistic regression; the analysis of count data and the Poisson regression model; and the analysis of event time data, including the proportional hazards and multiplicative intensity models. The book contains a technical appendix that presents the core mathematical statistical theory used for the development of classical and modern statistical methods. Biostatistical Methods: The Assessment of Relative Risks: * Presents modern biostatistical methods that are generalizations of the classical methods discussed * Emphasizes derivations, not just cookbook methods * Provides copious reference citations for further reading * Includes extensive problem sets * Employs case studies to illustrate application of methods * Illustrates all methods using the Statistical Analysis System(r) (SAS) Supplemented with numerous graphs, charts, and tables as well as a Web site for larger data sets and exercises, Biostatistical Methods: The Assessment of Relative Risks is an excellent guide for graduate-level students in biostatistics and an invaluable reference for biostatisticians, applied statisticians, and epidemiologists.
Author: Paul Dupuis Publisher: John Wiley & Sons ISBN: 9780471076728 Category : Mathematics Languages : en Pages : 522
Book Description
Applies the well-developed tools of the theory of weak convergenceof probability measures to large deviation analysis--a consistentnew approach The theory of large deviations, one of the most dynamic topics inprobability today, studies rare events in stochastic systems. Thenonlinear nature of the theory contributes both to its richness anddifficulty. This innovative text demonstrates how to employ thewell-established linear techniques of weak convergence theory toprove large deviation results. Beginning with a step-by-stepdevelopment of the approach, the book skillfully guides readersthrough models of increasing complexity covering a wide variety ofrandom variable-level and process-level problems. Representationformulas for large deviation-type expectations are a key tool andare developed systematically for discrete-time problems. Accessible to anyone who has a knowledge of measure theory andmeasure-theoretic probability, A Weak Convergence Approach to theTheory of Large Deviations is important reading for both studentsand researchers.
Author: Donald T. Bryant Publisher: Springer Science & Business Media ISBN: 1461346223 Category : Political Science Languages : en Pages : 765
Book Description
This volume is the proceedings of the conference entitled "Manpower Planning and Organization Design" which was held in Stresa, Italy, 20-24 June 1977. The Conference was sponsored by the NATO Scientific Affairs Division and organized jointly through the Special Programs Panels on Human Factors and on Systems Science. Two Conference Directors were appointed with overall responsibilities for the programme and for policy, and they were assisted in their tasks by a small advisory panel consisting of Professor A. Charnes (University of Texas), Professor W.W. Cooper (Carnegie Mellon University, now at Harvard University) and Dr. F.A. Heller (TavistQck Institute of Human Relations). Professor R. Florio of Bergamo kindly agreed to become Administrative Director and, as such, was responsible for all the local arrangements. The Conference Directors were further assisted by "national points of contact" appointed from each of the member countries of NATO. These national representatives played a substantial part in the search for participants and in the collection and trans mission of the various conference communications. Although full details of the national points of contact are included in the Appendices, special tribute must be paid to the UK point of contact, Brian Smith of the Civil Service Department. He very capably shouldered the additional burdens of maintaining conti nuity and resolving problems during the absence in Canada of Don Bryant in the particularly demanding two months preceding the Conference.
Book Description
An advanced discussion of linear models with mixed or randomeffects. In recent years a breakthrough has occurred in our ability todraw inferences from exact and optimum tests of variance componentmodels, generating much research activity that relies on linearmodels with mixed and random effects. This volume covers the mostimportant research of the past decade as well as the latestdevelopments in hypothesis testing. It compiles all currentlyavailable results in the area of exact and optimum tests forvariance component models and offers the only comprehensivetreatment for these models at an advanced level. Statistical Tests for Mixed Linear Models: Combines analysis and testing in one self-containedvolume. Describes analysis of variance (ANOVA) procedures in balancedand unbalanced data situations. Examines methods for determining the effect of imbalance ondata analysis. Explains exact and optimum tests and methods for theirderivation. Summarizes test procedures for multivariate mixed and randommodels. Enables novice readers to skip the derivations and discussionson optimum tests. Offers plentiful examples and exercises, manyof which are numerical in flavor. Provides solutions to selected exercises. Statistical Tests for Mixed Linear Models is an accessiblereference for researchers in analysis of variance, experimentaldesign, variance component analysis, and linear mixed models. It isalso an important text for graduate students interested in mixedmodels.
Author: Wallace R. Blischke Publisher: John Wiley & Sons ISBN: 1118150473 Category : Technology & Engineering Languages : en Pages : 848
Book Description
Bringing together business and engineering to reliability analysisWith manufactured products exploding in numbers and complexity,reliability studies play an increasingly critical role throughout aproduct's entire life cycle-from design to post-sale support.Reliability: Modeling, Prediction, and Optimization presents aremarkably broad framework for the analysis of the technical andcommercial aspects of product reliability, integrating concepts andmethodologies from such diverse areas as engineering, materialsscience, statistics, probability, operations research, andmanagement. Written in plain language by two highly respectedexperts in the field, this practical work provides engineers,operations managers, and applied statisticians with bothqualitative and quantitative tools for solving a variety ofcomplex, real-world reliability problems. A wealth of examples andcase studies accompanies: * Comprehensive coverage of assessment, prediction, and improvementat each stage of a product's life cycle * Clear explanations of modeling and analysis for hardware rangingfrom a single part to whole systems * Thorough coverage of test design and statistical analysis ofreliability data * A special chapter on software reliability * Coverage of effective management of reliability, product support,testing, pricing, and related topics * Lists of sources for technical information, data, and computerprograms * Hundreds of graphs, charts, and tables, as well as over 500references * PowerPoint slides are available from the Wiley editorialdepartment.
Author: David J. Bartholomew
Author: David J. Bartholomew
Author: United States Employment Service
Author: Bhattacharyya, Dipak Kumar
Author: Ross Sparkman
Author: John M. Lachin
Author: Paul Dupuis
Author: Donald T. Bryant
Author: André I. Khuri
Author: Wallace R. Blischke