Operational Subjective Statistical Methods A Mathematical, Philosophical, And Historical Introduction

Methods of subjective statistical analysis have seen a resurgence of activity in the last decade. This book treats the theory of probability and the logic of uncertainty in a systematic way. It features a technical presentation of the mathematical impact of personal beliefs and values on statistical analysis.

The mathematical implications of personal beliefs and values in science and commerce

Amid a worldwide resurgence of interest in subjectivist statistical method, this book offers a fresh look at the role of personal judgments in statistical analysis. Frank Lad demonstrates how philosophical attention to meaning provides a sensible assessment of the prospects and procedures of empirical inferential learning.

Operational Subjective Statistical Methods offers a systematic investigation of Bruno de Finetti's theory of probability and logic of uncertainty, which recognizes probability as the measure of personal uncertainty at the heart of its mathematical presentation. It identifies de Finetti's "fundamental theorem of coherent provision" as the unifying structure of probabilistic logic, and highlights the judgment of exchangeability rather than causal independence as the key probabilistic component of statistical inference.

Broad in scope, yet firmly grounded in mathematical detail, this text/reference

Invites readers to address the subjective personalist meaning of probability as motivating the mathematical construction

• Contains numerous examples and problems, including computing problems using Matlab, assuming no background in Matlab
• Explains how to use the material in three distinct sequential courses in math and statistics, as well as in courses at the graduate level in applied fields
• Provides an introductory basis for understanding more complex structures of statistical analysis

Complete with fifty illustrations, Operational Subjective Statistical Methods makes an intriguing discipline accessible to professionals, students, and the interested general reader. It contains a wealth of teaching and research material, and offers profound insight into the relationship between philosophy, faith, and scientific method.

The mathematical implications of personal beliefs and values inscience and commerce

Amid a worldwide resurgence of interest in subjectivist statisticalmethod, this book offers a fresh look at the role of personaljudgments in statistical analysis. Frank Lad demonstrates howphilosophical attention to meaning provides a sensible assessmentof the prospects and procedures of empirical inferentiallearning.

Operational Subjective Statistical Methods offers a systematicinvestigation of Bruno de Finetti's theory of probability and logicof uncertainty, which recognizes probability as the measure ofpersonal uncertainty at the heart of its mathematical presentation.It identifies de Finetti's "fundamental theorem of coherentprovision" as the unifying structure of probabilistic logic, andhighlights the judgment of exchangeability rather than causalindependence as the key probabilistic component of statisticalinference.

Broad in scope, yet firmly grounded in mathematical detail, thistext/reference

Invites readers to address the subjective personalist meaning ofprobability as motivating the mathematical construction
* Contains numerous examples and problems, including computingproblems using Matlab, assuming no background in Matlab
* Explains how to use the material in three distinct sequentialcourses in math and statistics, as well as in courses at thegraduate level in applied fields
* Provides an introductory basis for understanding more complexstructures of statistical analysis

Complete with fifty illustrations, Operational SubjectiveStatistical Methods makes an intriguing discipline accessible toprofessionals, students, and the interested general reader. Itcontains a wealth of teaching and research material, and offersprofound insight into the relationship between philosophy, faith,and scientific method.