Canadiana PDF Download

Author:
Publisher:
ISBN:
Category : Canada
Languages : en
Pages : 866

View

Book Description

Author: Joseph B. Kadane
Publisher: CRC Press
ISBN: 1315353814
Category : Mathematics
Languages : en
Pages : 312

View

Book Description
A fair question to ask of an advocate of subjective Bayesianism (which the author is) is "how would you model uncertainty?" In this book, the author writes about how he has done it using real problems from the past, and offers additional comments about the context in which he was working.

Author: Orley Ashenfelter
Publisher: Elsevier
ISBN: 9780444501899
Category : Business & Economics
Languages : en
Pages : 800

View

Book Description
A guide to the continually evolving field of labour economics.

Author: Peter Spirtes
Publisher: Springer Science & Business Media
ISBN: 1461227488
Category : Mathematics
Languages : en
Pages : 551

View

Book Description
This book is intended for anyone, regardless of discipline, who is interested in the use of statistical methods to help obtain scientific explanations or to predict the outcomes of actions, experiments or policies. Much of G. Udny Yule's work illustrates a vision of statistics whose goal is to investigate when and how causal influences may be reliably inferred, and their comparative strengths estimated, from statistical samples. Yule's enterprise has been largely replaced by Ronald Fisher's conception, in which there is a fundamental cleavage between experimental and non experimental inquiry, and statistics is largely unable to aid in causal inference without randomized experimental trials. Every now and then members of the statistical community express misgivings about this turn of events, and, in our view, rightly so. Our work represents a return to something like Yule's conception of the enterprise of theoretical statistics and its potential practical benefits. If intellectual history in the 20th century had gone otherwise, there might have been a discipline to which our work belongs. As it happens, there is not. We develop material that belongs to statistics, to computer science, and to philosophy; the combination may not be entirely satisfactory for specialists in any of these subjects. We hope it is nonetheless satisfactory for its purpose.

Author: Richard A. Swanson
Publisher: Berrett-Koehler Publishers
ISBN: 1605093335
Category : Business & Economics
Languages : en
Pages : 481

View

Book Description
Richard A. Swanson and Elwood F. Holton, leading scholars in the field, bring together contributions from more than twenty distinguished researchers from multiple disciplines to provide a comprehensive introductory textbook on organizational research. Designed for use by professors and students in graduate-level programs in business, management, organizational leadership, and human resource development, Research in Organizations teaches how to apply a range of methodolgies to the study of organizations. This comprehensive guide covers the theoretical foundations of various research methods, shows how to apply those methods in organizational settings, and examines the ethical conduct of research. It provides a holistic perspective, embracing quantitative, qualitative, and mixed-methodology approaches and illuminating them through numerous illustrative examples.

Author:
Publisher:
ISBN:
Category : Ecological risk assessment
Languages : en
Pages : 304

View

Book Description

Author: Barney Glaser
Publisher: Routledge
ISBN: 1351522159
Category : Social Science
Languages : en
Pages : 372

View

Book Description
Most writing on sociological method has been concerned with how accurate facts can be obtained and how theory can thereby be more rigorously tested. In The Discovery of Grounded Theory, Barney Glaser and Anselm Strauss address the equally Important enterprise of how the discovery of theory from data?systematically obtained and analyzed in social research?can be furthered. The discovery of theory from data?grounded theory?is a major task confronting sociology, for such a theory fits empirical situations, and is understandable to sociologists and laymen alike. Most important, it provides relevant predictions, explanations, interpretations, and applications. In Part I of the book, "Generation Theory by Comparative Analysis," the authors present a strategy whereby sociologists can facilitate the discovery of grounded theory, both substantive and formal. This strategy involves the systematic choice and study of several comparison groups. In Part II, The Flexible Use of Data," the generation of theory from qualitative, especially documentary, and quantitative data Is considered. In Part III, "Implications of Grounded Theory," Glaser and Strauss examine the credibility of grounded theory. The Discovery of Grounded Theory is directed toward improving social scientists' capacity for generating theory that will be relevant to their research. While aimed primarily at sociologists, it will be useful to anyone Interested In studying social phenomena?political, educational, economic, industrial? especially If their studies are based on qualitative data.

Author: Daniel S. Wilks
Publisher: Elsevier
ISBN: 0080541720
Category : Science
Languages : en
Pages : 481

View

Book Description
This book introduces and explains the statistical methods used to describe, analyze, test, and forecast atmospheric data. It will be useful to students, scientists, and other professionals who seek to make sense of the scientific literature in meteorology, climatology, or other geophysical disciplines, or to understand and communicate what their atmospheric data sets have to say. The book includes chapters on exploratory data analysis, probability distributions, hypothesis testing, statistical weather forecasting, forecast verification, time(series analysis, and multivariate data analysis. Worked examples, exercises, and illustrations facilitate understanding of the material; an extensive and up-to-date list of references allows the reader to pursue selected topics in greater depth.Key Features* Presents and explains techniques used in atmospheric data summarization, analysis, testing, and forecasting* Includes extensive and up-to-date references* Features numerous worked examples and exercises* Contains over 130 illustrations

Author: Siu L Chow
Publisher: SAGE
ISBN: 9780761952053
Category : Social Science
Languages : en
Pages : 228

View

Book Description
This comprehensive and accessible book provides an overview of the central and most fundamental methodological issue for empirical researchers - how should we interpret statistical significance? Beginning with a thorough introduction to null-hypothesis testing and statistical significance, the book then advances the arguments for and against the current interpretations and the use of significance testing in research. Siu L Chow presents a coherent challenge to contemporary criticisms of significance testing and offers a substantial and thought-provoking contribution to the debate on the proper role of statistical significance in empirical research.

Author: Edward Barbier
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 146

View

Book Description