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Probability Distribution


In probability theory and statistics, a probability distribution identifies either the probability of each value of a random variable (when the variable is discrete), or the probability of the value falling within a particular interval (when the variable is continuous). The probability distribution describes the range of possible values that a random variable can attain and the probability that the value of the random variable is within any (measurable) subset of that range.

 
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Methods for Record Linkage and Bayesian Networks

By: William E. Winkler

Statistical Reference Document

Excerpt: Record linkage is the science of finding matches or duplicates within or across files. Matches are typically delineated using name, address, and date-of-birth information. Other identifiers such as income, education, and credit information might be used. With a pair of records, identifiers might not correspond exactly. For instance, income in one record might be compared to mortgage payment size using a crude regression function. In the computer science literatu...

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Bayesian Networks Representations, Generalized Imputation, And Syn...

By: U.S. Census Bureau Department

Statistical Reference Document

Excerpt: Graphical representation of Bayes Nets and other probabilistic relationships date to Lauritzen and Spiegelhalter (1988). They are used extensively in machine learning. For instance, Figure 2 in Getoor et al. (2001) (reprinted below) demonstrates an efficient representation of Census data. 951 parameters are able to represent a potentially large number of cells in a contingency table (7 billion).

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Methods for Record Linkage and Bayesian Networks

By: William E. Winkler

Statistical Reference Document

Excerpt: This paper reports the results of research and analysis undertaken by Census Bureau staff. It has undergone a Census Bureau review more limited in scope than that given to official Census Bureau publications. This paper is released to inform interested ...

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Bayesian Networks Representations, Generalized Imputation, And Syn...

By: Yves Thibaudeau

Statistical Reference Document

Excerpt: This paper reports the results of research and analysis undertaken by Census Bureau staff. It has undergone a Census Bureau review more limited in scope than that given to official Census Bureau publications. This paper is released to inform interested ...

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Bayesian Analysis of the Independent Multi-Normal Process--Neither...

By: Ando, Albert; Kaufman, G. M

3899447 Archives; Bibliography: leaf 19

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Bayesian Parametric Models

By: Kempthorne, Peter J; Sloan School of Management; Mendel, Max B

Includes bibliographical references (leaf 15)

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A Repeat Purchase Diffusion Model : Bayesian Estimation and Control

By: Lilien, Gary L., 1946; Sloan School of Management; Rao, Ambar G; Kalish, Shlomo

Subject: Marlborough, Conn. -- History.

Bibliography: p. 46-47

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A repeat purchase diffusion model : Bayesian estimation and control

By: Lilien, Gary L., 1946-; Rao, Ambar G; Kalish, Shlomo; Sloan School of Management

Supplemental catalog subcollection information: American Libraries Collection; American University Library Collection; Historical Literature; Bibliography: p. 46-47

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Bayesian Inductive Inference Maximum Entropy and Neutron Scattering

By: Devinderjit Singh Sivia

Excerpt: The result of this experiment was inconclusive, so we had to use statistics. Such oft-heard statements reflect the “cookbook” approach to statistics that we are taught as undergraduates. Not satisfied with the maze of seemingly ad hoc statistical tests, many of us become inclined to avoid the subject as much as possible. Fortunately, statistics does not have to be like that! A more logical and unified approach...

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Bayesian Analysis of Small Domain Data in Repeated Surveys

By: Nangia, Narinder K.
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Bayesian Market Socialism with Costly Iteration

By: University of Illinois at Urbana-Champaign. College of Commerce and Business Administration

Description: Includes bibliographical references (p. 27-28)

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Continuity of Posterior Revision and Bayesian Dynamic Programming

By: University of Illinois at Urbana-Champaign. Bureau of Economic and Business Research

Description: Includes bibliographical references (p. [13])

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Equilibria in Random and Bayesian Games with a Continuum of Players

By: Yannelis, Nicholas C

Description: Includes bibliographical references (p. 23-24)

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Equilibrium Points of Non-cooperative Random and Bayesian Games

By: Yannelis, Nicholas C

Description: Includes bibliographical references (p. 39)

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Estimation of Systematic Risk Using Bayesian Analysis with Hierarc...

By: University of Illinois at Urbana-Champaign. College of Commerce and Business Administration

Description: Includes bibliographical references (p. 18)

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On the Generic Nonconvergence of Bayesian Actions and Beliefs

By: University of Illinois at Urbana-Champaign. College of Commerce and Business Administration

Description: Includes bibliographical references (p. 13-14)

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Los Alamos Science No. 19, 1990: Bayesian Inductive Inference, Max...

By: Devinderjit Singh Sivia

Description: Neutrons have been used to probe the structure of materials since nuclear reactors became a good source of neutrons. In 1975, LANL became a leader in the field when it began the user program at LANSCE, an intense pulsed spallation neutron source, powered by an 800 MeV linear accelerator. The field of neutron scattering was still relatively young, and this volume sought to introduce the field to a wider audience. A primer explains the techniques and applicati...

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To 20 Years : Boys Stature Weight--For-Age and Eight-For-Age Perce...

By: Department of Health and Human Services

2 to 20 years: Boys Stature Weight--for-age and eight-for-age percentiles...

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2 to 20 Years : Boys Body Mass Index-For-Age Percentiles

By: Department of Health and Human Services

26 28 26 30 32 34 BMI BMI 27 27 29 31 33 35 95 90 85 Body mass index-for-age percentiles RECORD Date Age Weight Stature BMI Comments...

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2 to 20 Years : Girls Body Mass Index-For-Age Percentiles

By: Department of Health and Human Services

2 to 20 years: Girls Body mass index-for-age percentiles NAME RECORD SOURCE: Developed by the National Center for Health Statistics in collaboration with the National Center for Chronic Disease Prevention and Health Promotion (2000). 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 26 24 22 20 18 16 14 12 kg/m2 BMI AGE (YEARS) 13 15 17 19 21 23 25 27 Date Age Weight Stature BMI Comments 95 90 85 75 50 10 25 5 Published May 30, 2000 (modified 10/16/00).

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