Browsing by Author "Holm, Sture"

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    ABSTRACT BOOTSTRAP CONFIDENCE INTERVALS IN LINEAR MODELS
    (University of Gothenburg, 1990-01-01) Holm, Sture
    A bootstrap method for generating confidence intervals in linear models is suggested. The method is motivated by an abstract nonobservable bootstrap sample of true residuals leading to an observable final result. This means that the only error in the method is the pure bootstrap error obtained by replacing the true residual distribution by the empirical one. It is shown that the method is valid, having the same asymptotic conditional distribution as the ordinary bootstrap method. Simulations indicate clearly that the abstract bootstrap method works better than the ordinary bootstrap method for small samples.
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    NONPARAMETRIC REGRESSION WlITH SIMPLE CURVE CHARACTERISTICS
    (University of Gothenburg, 1985-04-01) Holm, Sture; Frisen, Marianne
    The character of nonparametric statistical methods is that they are constructed for very general situations, without the specific narrow assumptions, which appear in the common parametric methods. Isotonic regression is a nonparametric regression method, which has paid a well deserved attention for some decades. In this case the only assumption about the regression function is that it is non-decreasing (or non increasing). The basic theory of isotonic regression is contained in the book by Barlow, Bartholomew, Brenner and Brunk (1972).
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    ON TESTS OF EQUIVALENCE
    (University of Gothenburg, 1990-02-01) Holm, Sture; Dahlbom, Ulla
    We will study here a general method for constructing equivalence tests for problems with onedimensional or multidimensional parameter. In the biometric field, the equivalence tests have been studied by many authors under the name of bioequivalence methods. Our general method is closely related to a method for acceptance sampling in the multiparameter case by Berger (1982) and a bioequivalence test method by Schuirmann (1981) for normal distributions and onedimensional parameter. We combine in a general form the ideas of two-sidedness by Schuirmann (1981) and the ideas for multiparameter handling by Berger (1982). We give a number of parametric and nonparametric examples where the general method is used and we illustrate the methods power properties by simulation results.
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    PARAMETRIC AND NONPARAMETRIC TESTS FOR BXOEQUIVALENCE TRIALS
    (University of Gothenburg, 1986-02-01) Dahlbom, Ulla; Holm, Sture
    In pharmacology, comparison of bioavailability is an important problem. A new formulation of a drug is compared with a standard formulation in human subjects. When the extent of absorption is studied the areas under the concentration/time curves (AUC) are the statistics used for analysis. These statistics are determined by some parametric or nonparamatric methods from the basic concentration measurements e. g. every half hour during a day.
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    STATISTICAL RANK METHODS FOR ORDINAL CATEGORICAL DATA
    (University of Gothenburg, 1991-03-01) Holm, Sture; Svensson, Elisabeth
    The aim of this paper is to present a new rank. method for analysing ordinal scale problems, and to give some of its basic properties. The method is suitable for the assessment of validity and reliability of health measurement instruments. We will be able to separate systematic and random differences between judges or scales and also. in a suitable way. measure the size of these two types of differences. Some methods for estimating systematic differences between raters will be given. The model is illustrated in a worked example.