Results 261 to 270 of about 3,294,315 (307)

Probability and Statistical Inference.

Applied Statistics, 1978
Probability and Statistical Inference. By Robert V. Hogg and Elliot A. Tanis. New York, Macmillan, 1977. ix, 450 p. 24 cm. £11·25.
W. D. Ray, Robert V. Hogg, Elliot A. Tanis   +2 more
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Statistical models and statistical inference

1981
In the previous chapter we have seen how a simple statistical model can be fitted to data by estimating the unknown parameters and then making checks with residuals. After we have done this, various questions can be answered in terms of the fitted model.
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ISSUES IN BIOMEDICAL STATISTICS: STATISTICAL INFERENCE

Australian and New Zealand Journal of Surgery, 1994
The first step in making inferences under the frequentist system of statistical logic is to propose a null hypothesis. An experiment is then performed, or a set of observations made. The resulting data are subjected to statistical analysis to determine whether the null hypothesis should be rejected or not.
J, Ludbrook, H, Dudley
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Acceptability and statistical inference

Biometrika, 1974
SUMMARY The likelihood principle is criticized and the acceptability principle is enunciated. Most acceptable estimates are defined and some techniques for their calculation are developed. In the one-parameter case the most acceptable estimator is, under some conditions, median unbiased. Conditions for the strong consistency and asymptotic normality of
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Statistical inference and data mining

Communications of the ACM, 1996
Department of Philosophy technical ...
Clark Glymour, David Madigan, Daryl Pregibon, Padhraic Smyth   +3 more
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Randomization and statistical inference

Communications in Statistics, 1975
An expository discussion is presented of the arguments concerning the role of randomization in statistical inference from the results of a randomized experiment. Then some comparisons of the power of the Fisher randomization test to the normal theory F-test for the case of an unpaired, two-group, randomized experiment are given..
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Parallel Statistical Computing for Statistical Inference

Journal of Statistical Theory and Practice, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Statistical Inference Techniques

2019
This chapter presents the most common and useful tests of hypothesis for bioinformatics applications. The hypothesis tests divide essentially into two categories: parametric and nonparametric. At the first category belong those tests based on the assumption of knowing the distribution of the sampling population(s) and inference is drawn on one or more ...
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Diophantine inference on a statistical database

Information Processing Letters, 1984
La transaction diophantienne represente une menace nouvelle pour la securite des bases de donnees statistiques. Discussion sur quelques methodes utilisant une nouvelle technique, qui apparemment n'a pas ete explore jusqu'ici, la solution des equations diophantienne ...
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Multivariate Statistical Inference.

Journal of the Royal Statistical Society. Series A (General), 1974
D. V. Gokhale, D. G. Kabe, R. P. Gupta
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