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The Manual of Strategic Economic Decision Making : Using Bayesian Belief Networks to Solve Complex Problems / / by Jeff Grover
The Manual of Strategic Economic Decision Making : Using Bayesian Belief Networks to Solve Complex Problems / / by Jeff Grover
Autore Grover Jeff
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XXVIII, 260 p. 55 illus., 51 illus. in color.)
Disciplina 519.5
Soggetto topico Statistics 
Econometrics
Operations research
Decision making
Management
Statistical Theory and Methods
Statistics for Business, Management, Economics, Finance, Insurance
Operations Research/Decision Theory
ISBN 9783319484143
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Introduction -- 1.1 Bayes' Theorem: An Introduction -- 1.2 Protocol -- 1.3 Data -- 1.4 Statistical Properties of Bayes' Theorem -- 1.5 Base Matrices -- 1.5.1 Event A Node -- 2. Base Matrices -- 2.1 Event A Node -- 2.1.1 Event A Node-Prior Counts -- 2.1.2 Module A-Prior Probabilities -- 2.2 Event B -- 2.2.1 Event B Node-Likelihood Counts -- 2.2.2 Module B Node -- 2.2.3 Event B Node-Counts -- 2.2.4 Event B Node-Likelihood Probabilities -- 2.3 Event C Node -- 2.3.1 Event C Node-Counts -- 2.3.2 Event C Node-Likelihood Probabilities -- 2.3.3 Event C Node-Counts -- 2.3.4 Event C Node-Likelihood Probabilities -- 2.3.5 Event C Node-Counts -- 2.3.6 Event C Node-Likelihood Probabilities -- 2.3.7 Event C Node-Counts -- 2.3.8 Event C Node-Probabilities -- 2.4 Event D Node -- 2.4.1 Event D Node-Counts -- 2.4.2 Event D Node-Likelihood Probabilities -- 2.5 Event D Node-Counts -- 2.5.1 Event D Node-Likelihood Probabilities -- 2.5.2 Event D Node-Counts -- 2.5.3 Event D Node-Likelihood Probabilities -- 2.5.4 Event D Node-Counts -- 2.5.5 Event D Node-Likelihood Probabilities -- 2.5.6 Event D Node-Counts -- 2.5.7 Event D Node-Likelihood Probabilities -- 2.5.8 Event D Node-Counts -- 2.5.9 Event D Node-Likelihood Probabilities -- 2.5.10 Event D Node-Counts -- 2.5.11 Event D Node-Likelihood Probabilities -- 3. 2-Event 1-Path BBN -- 3.1 [A] [B] -- 3.1.1 2-Event BBN Proof -- 3.1.2 BBN Specification -- 4.3-Event 2-Path BBNs -- 4.1 [AB|AC] -- 4.1.1 Proof -- 4.1.2 BBN Specification -- 4.2 [AC|BC] -- 4.2.1 Proof -- 4.2.2 BBN Specification -- 4.3 [AB|BC] -- 4.3.1 Proof -- 4.3.2 BBN Specification -- 5. 3-Event 3-Path BBNs -- 5.1 3-Paths-[AB|AC|BC] -- 5.1.1 Proof -- 5.1.2 BBN Probabilities.
Record Nr. UNINA-9910155299303321
Grover Jeff  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Strategic economic decision-making : using Bayesian belief networks to solve complex problems / / Jeff Grover
Strategic economic decision-making : using Bayesian belief networks to solve complex problems / / Jeff Grover
Autore Grover Jeff
Edizione [1st ed. 2013.]
Pubbl/distr/stampa New York, : Springer, 2013
Descrizione fisica 1 online resource (121 p.)
Disciplina 519.5
519.5/42
519.542
Collana SpringerBriefs in statistics
Soggetto topico Bayesian statistical decision theory
ISBN 1-283-93448-5
1-4614-6040-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Strategic Economic Decision Making: The Use of Bayesian Belief Networks (BBN) in Solving Complex Problems -- A Literature Review of Bayes’ Theorem and Bayesian Belief Networks (BBN) -- Statistical Properties of Bayes’ Theorem -- Bayes Belief Networks (BBN) Experimental Protocol -- Manufacturing Example -- Political Science Example -- Gambling Example -- Publicly Traded Company Default Example -- Insurance Risk Levels Example -- Acts of Terrorism Example -- Currency Wars Example -- College Entrance Exams Example -- Special Forces Assessment and Selection (SFAS) One-Stage Example -- Special Forces Assessment and Selection (SFAS) Two-Stage Example.
Record Nr. UNINA-9910438138503321
Grover Jeff  
New York, : Springer, 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui