Filetype Pdf Stephen P Robbins Organizational Behavior 8th Edition

Organizational Behavior

Robbins/Judge provide the research you want in the language your students understand; accompanied with the best selling self-assessment software, SAL. Some topics include management functions; the social sciences; helping employees balance work and other responsibilities; improving people skills; improving customer service; motivational concepts; communication; power and politics; conflict and negotiation; culture; and stress management. Globally accepted and written by one of the most foremost authors in the field, this is a necessary read for all managers, human resource workers, and anyone needing to understand and improve their people skills.

FUNDAMENTALS OF MANAGEMENT

Bayesian Data Analysis, Third Edition

Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.