What makes variables random : probability for the applied researcher /

What Makes Variables Random: Probability for the Applied Researcher provides an introduction to the foundations of probability that underlie the statistical analyses used in applied research. By explaining probability in terms of measure theory, it gives the applied researchers a conceptual framewor...

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Bibliographic Details
Main Author: Veazie, Peter (Author)
Corporate Author: Taylor & Francis
Format: eBook
Language:English
Published: Boca Raton : Chapman and Hall/CRC, 2017.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:What Makes Variables Random: Probability for the Applied Researcher provides an introduction to the foundations of probability that underlie the statistical analyses used in applied research. By explaining probability in terms of measure theory, it gives the applied researchers a conceptual framework to guide statistical modeling and analysis, and to better understand and interpret results. The book provides a conceptual understanding of probability and its structure. It is intended to augment existing calculus-based textbooks on probability and statistics and is specifically targeted to researchers and advanced undergraduate and graduate students in the applied research fields of the social sciences, psychology, and health and healthcare sciences. Materials are presented in three sections. The first section provides an overall introduction and presents some mathematical concepts used throughout the rest of the text. The second section presents the basic structure of measure theory and its special case of probability theory. The third section provides the connection between a conceptual understanding of measure-theoretic probability and applied research. This section starts with a chapter on its use in understanding basic models and finishes with a chapter that focuses on more complicated problems, particularly those related to various types and definitions of analyses related to hierarchical modeling.
Physical Description:1 online resource (148 pages) : illustrations (black and white)
Bibliography:Includes bibliographical references.
ISBN:9781498781091
1498781098
9781498781084
149878108X
9781351720120
1351720120
9781351720113
1351720112
9781315180700
1315180707