Browsing by Subject "Statistics"
Now showing items 1-20 of 70
-
(Texas A&M University. Libraries, 09 AUG 196)
-
(Texas A&M University. Libraries, 1964)No Abstract
-
(Texas A&M University. Libraries, 1978)A procedure is developed to solve constrained maximum likelihood estimation problems that arise in the determination of safe doses for suspected carcinogens. A change-of-variable transformation procedure is used to remove ...
-
(Texas A&M University. Libraries, 1970)
-
An approach to parameter estimation in stochastic compartmental models with random rate coefficients (Texas A&M University. Libraries, 1977)Several different techniques have been developed recently for estimating the transition rate coefficients in a stochastic compartmental model. Stochasticity has been present in these models in the transitions or in the ...
-
(2022-02-10)Public opinion polling data has unique features that complicate statistical inference. Polling data is often non-representative of the population it aims to estimate. It is also common for individual polls to have a large ...
-
(Texas A&M University. Libraries, 1981)A procedure is proposed as a solution to the problem of estimating canonical correlations using samples with missing observations. Simulation studies are made to compare this procedure to the common procedure of ignoring ...
-
(Texas A&M University. Libraries, 1983)This dissertation reports an evaluation of Krzanowski's location model approach to discriminant analysis. Three of Krzanowski's assumptions (all binary means equal within-population, all binary correlations equal ...
-
(Texas A&M University. Libraries, 1978)This dissertation proposes and analyzes a compartmental model for the process of formation of cancer tumors. The model is based explicitly on the biological theory concerning tumor formation. Models currently in the ...
-
(Texas A&M University. Libraries, 1980)A general analytic form is derived for the transition probability, P[subscript 31](t), for two-compartments irreversible systems in which residency-time distributions are integral gammas. Some uses of these analytic forms ...
-
(Texas A&M University. Libraries, 1982)For many optimization problems approximate or near-optimal solutions are the only practical solutions available. This dissertation identifies and compares some procedures which use independent near-optimal solutions to ...
-
(Texas A&M University. Libraries, 1977)A variate transformation model is employed to estimate the percentage of a large land segment covered by a particular crop based on spectral intensity data from National Aeronautical Space Administration's Earth Resources ...
-
(2020-02-10)
-
(Texas A&M University. Libraries, )Parzen (1979) has shown that the estimation of location and scale parameters by linear systematic statistics may be formulated as a problem in regression analysis of a smoothed sample quantile process. In this dissertation, ...
-
(Texas A&M University. Libraries, 1981)Due to inadequate crop acreage and biomass estimates using satellite and aircraft visible and infrared data, a study was conducted to (1) develop and test agricultural crop classification models using two or more spectral ...
-
(Texas A&M University. Libraries, 1976)The estimation of autocovariance functions and power spectra from randomly sampled data is a signal processing problem with applications in several areas. A practical autocovariance estimator produces estimates at integer ...
-
(Texas A&M University. Libraries, 1989)The purpose of this study was to examine, through Monte Carlo methods, the empirical alpha levels and the statistical power obtained when selected data from motor learning research was subjected to univariate and multivariate ...
-
(Texas A&M University. Libraries, 1992)In many nutritional studies the probability of obtaining a certain disease is believed to be related to a certain predictor variable. In order to test for the relationship between the predictor variable and the disease it ...
-
(Texas A&M University. Libraries, 1970)This dissertation deals with the practical solution of estimation and classification problems which arise in the fixed model analysis of variance when one encounters responses which are not completely specified, and may, ...