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What Makes Variables Random
Af: Peter J. Veazie Engelsk Paperback
SPAR
kr 63
What Makes Variables Random
Af: Peter J. Veazie Engelsk Paperback

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.

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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.

Produktdetaljer
Sprog: Engelsk
Sider: 148
ISBN-13: 9780367573713
Indbinding: Paperback
Udgave:
ISBN-10: 0367573717
Udg. Dato: 30 jun 2020
Længde: 0mm
Bredde: 234mm
Højde: 156mm
Oplagsdato: 30 jun 2020
Forfatter(e): Peter J. Veazie
Forfatter(e) Peter J. Veazie


Kategori Sandsynlighedsregning og statistik


Sprog Engelsk


Indbinding Paperback


Sider 148


Udgave


Længde 0mm


Bredde 234mm


Højde 156mm

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