Results 221 to 230 of about 65,964 (245)
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Order-Restricted Inferences in Linear Regression
Journal of the American Statistical Association, 1995Abstract Regression analysis constitutes a large portion of the statistical repertoire in applications. In cases where such analysis is used for exploratory purposes with no previous knowledge of the structure, one would not wish to impose any constraints on the problem.
Hari Mukerjee, Renjin Tu
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Order restricted inference of a multiple step-stress model
Computational Statistics & Data Analysis, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Debashis Samanta, Debasis Kundu
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Order Restricted Inference in a Repeated Measures Model
Biometrika, 1988In a repeated measures model each of n individuals receive each of k treatments. Usually a one-way ANOVA model is used under the assumption that the vectors of observations on the j-th individual \(Y_ j=(Y_{1j},...,Y_{kj})'\), say, are independently \(N\{\mu,\sigma^ 2A(\rho)\}\) distributed, where \(\mu =(\mu_ 1,...,\mu_ k)'\) is the mean of \(Y_ j\), \
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Approximating the level probabilities in order restricted inference: The simple tree ordering
Biometrika, 1985zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wright, F. T., Tran, T.
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Statistical Inference Under Order Restrictions
Technometrics, 1975(1975). Statistical Inference Under Order Restrictions. Technometrics: Vol. 17, No. 1, pp. 139-140.
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Biometrika, 1983
Let \(\overline{X_ 1},...,\overline{X_ k}\) and \(n_ 1,...,n_ k\) be the sample means and sample sizes of k independent random samples from each of k normal populations having means \(\mu_ 1,...,\mu_ k\). Let \(P_ w(\ell,k)\) denote the probability that the maximum likelihood estimates of \(\mu_ 1,...,\mu_ k\) subject to the restriction \(\mu_ 1\leq ...
Robertson, Tim, Wright, F. T.
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Let \(\overline{X_ 1},...,\overline{X_ k}\) and \(n_ 1,...,n_ k\) be the sample means and sample sizes of k independent random samples from each of k normal populations having means \(\mu_ 1,...,\mu_ k\). Let \(P_ w(\ell,k)\) denote the probability that the maximum likelihood estimates of \(\mu_ 1,...,\mu_ k\) subject to the restriction \(\mu_ 1\leq ...
Robertson, Tim, Wright, F. T.
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Semiparametric Inference for the Two‐way Layout Under Order Restrictions
Scandinavian Journal of Statistics, 2013ABSTRACTThere are many situations in which a researcher would like to analyse data from a two‐way layout. Often, the assumptions of linearity and normality may not hold. To address such situations, we introduce a semiparametric model. The model extends the well‐known density ratio model from the one‐way to the two‐way layout and provides a useful ...
Davidov, O. +5 more
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Statistical inference under order restrictions
Statistica Neerlandica, 1973Book reviewed in this article:Statistical inference under order restrictions, R. E. BARLOW, D. J. BARTHOLOMEW, J. M. BREMNER, H. D. BRUNK.
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An Application of Order Restricted Inference Methodology to a Problem in Psychiatry
Psychometrika, 1985Using data which reflects upon the genetic makeup of patients, Cadoret, Woolson and Winokur (1977) test two theories regarding the genetic makeup of patients suffering from unipolar affective disorder. This hypothesis test is a good example of a problem in order restricted inference.
Tim Robertson, Giles Warrack
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Properties of Bayes testing procedures in order restricted inference
Statistics & Probability Letters, 2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cohen, Arthur, Sackrowitz, H. B.
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