Results 301 to 310 of about 3,223,931 (336)

Confidence, power and distributive preferences

Mind & Society, 2020
The aims of this study were twofold, to: (1) examine the behavior displayed by participants who expected to be nominated for donor roles in dictator games wherein initial endowments of players are determined by lottery and (2) investigate the conduct of donors who were confident in their good fortune in relation to their power as they redistributed the
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Confidence bands for the laplace distribution

Journal of Statistical Computation and Simulation, 1982
Based on a random sample from the Laplace population with unknown shape and scale parameters, one- and two-sided confidence bands on the entire cumulative distribution function and simultaneous confidence intervals for the interval probabilities under the distribution are constructed using Kolmogorov–Smirnov type statistics. Small sample and asymptotic
R. Srinivasan, Robert M. Wharton
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On Cox’s Confidence Distribution

1987
A confidence distribution function is a graphical tool for flexible statistical analyses. It provides one- and two-sided tests of simple and interval hypotheses for any size, central and symmetrical confidence intervals of any level. Given an interval of equivalent values, it quantifies the strength of evidence for “no material difference” between two ...
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Confidence curves and improved exact confidence intervals for discrete distributions

Canadian Journal of Statistics, 2000
Summary: The author describes a method for improving standard ``exact'' confidence intervals in discrete distributions with respect to size while retaining correct level. The binomial, negative binomial, hypergeometric, and Poisson distributions are considered explicitly.
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Sampling Distributions I: Confidence

1998
You have been studying a strategy for data collection which involves the use of randomization. At first glance, it might seem that this deliberate introduction of uncertainty would only compound the problem of drawing reliable conclusions from the data collected.
Beth Chance, Allan J. Rossman
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Advances in confidence distribution [PDF]

, 2017
In this dissertation, we develop new methods for problems for the two fundamental topics of statistical learning - inference and prediction, using the tool of confidence distribution (CD). Specifically, we are interested in i) making efficient and valid statistical inference about an individual subject, by borrowing information from other individual ...
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Improved approximations for confidence distributions

2016
Previous chapters have developed concepts and methodology pertaining to confidence distributions and related inference procedures. Some of these methods take the form of generally applicable recipes, via log-likelihood profiles, deviances and first-order large-sample approximations to the distribution of estimators of the focus estimands in question ...
Tore Schweder, Nils Lid Hjort
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High Confidence Reconfigurable Distributed Control

2005
Abstract : The Caltech/Colorado SEC project developed and tested two major advances in software enabled control: optimization-based control using real-time trajectory generation and logical programming environments for formal analysis of distributed control systems.
Jay Hauser, Jason Hickey, Richard M. Murray   +2 more
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Tables for distribution-free confidence limits for the median

Biometrika, 1970
SUMMARY A table of the cumulative binomial distribution is used to provide confidence limits for the population median based on samples of size n = 3 (1) 150 from any continuous univariate distribution. The confidence interval covers the median with a probability of at3 least 1-2c2, where 1-20c = 0 70, 0 80, 0 90, 0 95, 0-98 and 0 99.
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Tables of Confidence Limits for the Binomial Distribution

Journal of the American Statistical Association, 1960
Abstract Values of p (times 10,000) satisfying the equation α = Σ x r = 0 ( n r ) p r (1 – p) n–r are given to four figures for n = 55(5)100, x = 0(1)n − 1 and α = .005, .010, .025, .050.
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