Predictive Inference e-bog
509,93 DKK
(inkl. moms 637,41 DKK)
The author's research has been directed towards inference involving observables rather than parameters. In this book, he brings together his views on predictive or observable inference and its advantages over parametric inference. While the book discusses a variety of approaches to prediction including those based on parametric, nonparametric, and nonstochastic statistical models, it is devot...
E-bog
509,93 DKK
Forlag
Chapman and Hall/CRC
Udgivet
22 november 2017
Længde
240 sider
Genrer
Psychological theory, systems, schools and viewpoints
Sprog
English
Format
pdf
Beskyttelse
LCP
ISBN
9781351422307
The author's research has been directed towards inference involving observables rather than parameters. In this book, he brings together his views on predictive or observable inference and its advantages over parametric inference. While the book discusses a variety of approaches to prediction including those based on parametric, nonparametric, and nonstochastic statistical models, it is devoted mainly to predictive applications of the Bayesian approach. It not only substitutes predictive analyses for parametric analyses, but it also presents predictive analyses that have no real parametric analogues. It demonstrates that predictive inference can be a critical component of even strict parametric inference when dealing with interim analyses. This approach to predictive inference will be of interest to statisticians, psychologists, econometricians, and sociologists.