Dickey Source Book: Chapter 2 thru Chapter 66
Title | Dickey Source Book: Chapter 2 thru Chapter 66 PDF eBook |
Author | Joseph H. Howard |
Publisher | |
Pages | 574 |
Release | 1997 |
Genre | |
ISBN |
Willard and Spackman's Occupational Therapy
Title | Willard and Spackman's Occupational Therapy PDF eBook |
Author | Barbara Schell |
Publisher | Lippincott Williams & Wilkins |
Pages | 2632 |
Release | 2018-09-04 |
Genre | Medical |
ISBN | 1975125649 |
Celebrating 100 years of the Occupational Therapy profession, this Centennial Edition of Willard & Spackman’s Occupational Therapy continues to live up to its well-earned reputation as the foundational book that welcomes students into their newly chosen profession. Now fully updated to reflect current practice, the 13th Edition remains the must-have resource that students that will use throughout their entire OT program, from class to fieldwork and throughout their careers. One of the top texts informing the NBCOT certification exam, it is a must have for new practitioners.
Dickey Source Book: Supporting documentation. Personal name and place index to Supporting documentation
Title | Dickey Source Book: Supporting documentation. Personal name and place index to Supporting documentation PDF eBook |
Author | Joseph H. Howard |
Publisher | |
Pages | 648 |
Release | 1997 |
Genre | |
ISBN |
Multiple Time Series Modeling Using the SAS VARMAX Procedure
Title | Multiple Time Series Modeling Using the SAS VARMAX Procedure PDF eBook |
Author | Anders Milhoj |
Publisher | SAS Institute |
Pages | 210 |
Release | 2016-01-11 |
Genre | Computers |
ISBN | 162959749X |
Aimed at econometricians who have completed at least one course in time series modeling, this comprehensive book will teach you the time series analytical possibilities that SAS offers today. --
Occupational Science
Title | Occupational Science PDF eBook |
Author | Gail E. Whiteford |
Publisher | John Wiley & Sons |
Pages | 258 |
Release | 2012-02-13 |
Genre | Medical |
ISBN | 144433316X |
Occupational Science: Society, Inclusion, Participation is the must have resource for occupational therapists, occupational scientists, students and researchers. The book begins with a comprehensive review of the current literature and the knowledge generated to date. Reasons for the field's limited impact are proposed, including its focus on individuals rather than groups and communities, its psychological view of occupation, and its narrow focus on socially approved occupations. Global realities such as poverty, anti-social behaviour and ageing populations are discussed and implications for action are considered. The second section of the books comprises a series of chapters that address the philosophical, theoretical and scientific bases that underpin and inform everyday decision making in occupational therapy practice. This is followed by a section on methodological and structural considerations. The concluding chapter offers a critical reflection on methods, strategies, values and relationships for the future, to achieve a relevant science that makes a difference to current occupational realities. Written by an internationally renowned team of contributors, this book offers a truly comprehensive critique of the field. Features • Internationally renowned Editors and contributors • First comprehensive text on occupational science • Fully up to date with the latest thinking and research • Links theory to practice
The Principles of Science
Title | The Principles of Science PDF eBook |
Author | William Forbes Cooley |
Publisher | |
Pages | 272 |
Release | 1912 |
Genre | Science |
ISBN |
Bayesian Data Analysis, Third Edition
Title | Bayesian Data Analysis, Third Edition PDF eBook |
Author | Andrew Gelman |
Publisher | CRC Press |
Pages | 677 |
Release | 2013-11-01 |
Genre | Mathematics |
ISBN | 1439840954 |
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.