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Estimating Transition Probabilities from Aggregate Samples Augmented by Haphazard Recaptures II. The Case of Covariates.
(University of Texas at Arlington, 1997)
**Please note that the full text is embargoed** ABSTRACT: The paper extends the authors' earlier methods for estimating transition probabilities, by combining aggregate and haphazard recapture data, to the case of categorical ...
Estimating Change Over Time From Aggregate Samples Plus Partial Transition Data
(University of Texas at Arlington, 2000-05)
**Please note that the full text is embargoed** ABSTRACT: As such, the paper has two basic thrusts. The first is that to obtain efficient estimates of change measures (e.g. of transition probabilities) based on aggregate ...
A Central Limit Theorem for Certain Nonlinear Statistics in Repeated Sampling of a Finite Population
(University of Texas at Arlington, 1996)
**Please note that the full text is embargoed** ABSTRACT: We prove a central limit theorem for the asymptotic joint distribution of non-linear
statistics of the form [see pdf for notation] and linear statistics of the ...
Estimating Transition Probabilities from Aggregate Samples Augmented by Haphazard Recaptures
(University of Texas at Arlington, 1995)
**Please note that the full text is embargoed** ABSTRACT: Transition probabilities provide a convenient summary of changes in a categorical trait over time in a population. The difficulties of estimating such probabilities ...
Tennis, Geometric Progression, Probability and Basketball
(University of Texas at Arlington, 1999-03)
The following problem about a tennis match is well—known. See Halmos [1, 2]. Consider 2n tennis players playing a single elimination match. Ask the question: what are the number of games played? The answer can be obtained ...