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Bayesian estimation of number of the questions unfamiliar with the examinee in variant I of probabilistic model of double choice test

Eva Tesaříková — 1995

Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica

Probabilistic model of school-achievement test with double choice response: Variant I

Eva Tesaříková — 1992

Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica

To the theory of global transformation of the second order linear differential equations of finite type, special

Eva Tesaříková — 1990

Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica

Bayesian estimation of parameter $τ$ in variant I of probabilistic model of double choice test

Eva Tesaříková — 1995

Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica

Probabilistic model of school-achievement test with triple choice response

Eva Tesaříková — 1994

Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica

Statistical analysis of probabilistic model of the school-achievement test with triple-choice response

Eva Tesaříková — 1994

Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica

On equation $y^{''} - q (t) y$ of finite type, 1-special, with the same central dispersion of the first kind

Eva Tesaříková — 1989

Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica

To the theory of central dispersions for the linear differential equations $y^{''} = q (t) y$ of a finite type-special

Eva Tesaříková — 1987

Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica

Information analysis in variant I of probabilistic model of the school achievement test with double choice response

Eva Tesaříková — 1996

Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica

Statistical analysis of variant II of probabilistic model of the school-achievement test with double-choice response

Eva Tesaříková — 1993

Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica

Special dispersions of the second order linear differential equations of a finite type special and their relation to the Kummer's transformation problem

Eva Tesaříková — 1991

Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica

Variant II of probabilistic model of school-achievement test with double choice response

Eva Tesaříková — 1993

Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica

On the properties of central dispersions of linear second order differential equations being of finite type-special

Eva Tesaříková — 1989

Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica

Statistical analysis of probabilistic model - variant I of the school-achievement test with double-choice response

Eva Tesaříková — 1992

Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica

Probabilistic model of school-achievement test with the correction account of the random choice and its statistical analysis

Eva Tesaříková — 1997

Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica

Weakly nonlinear regression model with constraints I: nonlinear hypothesis

Lubomír Kubácek; Eva Tesaríková — 2005

Discussiones Mathematicae Probability and Statistics

The problem considered is under which conditions in weakly nonlinear regression model with constraints I a weakly nonlinear hypothesis can be tested by linear methods. The aim of the paper is to find a region around the approximate value of the regression parameter with the following property. If we are certain that the actual value of the regression parameter is in this region, then the linear method of testing can be used without any significant deterioration of the inference.

How to deal with regression models with a weak nonlinearity

Eva Tesaríková; Lubomír Kubáček — 2001

Discussiones Mathematicae Probability and Statistics

If a nonlinear regression model is linearized in a non-sufficient small neighbourhood of the actual parameter, then all statistical inferences may be deteriorated. Some criteria how to recognize this are already developed. The aim of the paper is to demonstrate the behaviour of the program for utilization of these criteria.

Weakly nonlinear constraints in regression models

Lubomír Kubáček; Eva Tesaříková — 2002

Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica

Confidence regions in nonlinear models with constraints

Lubomír Kubáček; Eva Tesaříková — 2003

Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica

Linearization regions for confidence ellipsoids

Lubomír Kubáček; Eva Tesaříková — 2008

Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica

If an observation vector in a nonlinear regression model is normally distributed, then an algorithm for a determination of the exact $(1 - α)$ -confidence region for the parameter of the mean value of the observation vector is well known. However its numerical realization is tedious and therefore it is of some interest to find some condition which enables us to construct this region in a simpler way.

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Currently displaying 1 – 20 of 29

Bayesian estimation of number of the questions unfamiliar with the examinee in variant I of probabilistic model of double choice test

Probabilistic model of school-achievement test with double choice response: Variant I

To the theory of global transformation of the second order linear differential equations of finite type, special

Bayesian estimation of parameter $τ$ in variant I of probabilistic model of double choice test

Probabilistic model of school-achievement test with triple choice response

Statistical analysis of probabilistic model of the school-achievement test with triple-choice response

On equation $y^{''} - q (t) y$ of finite type, 1-special, with the same central dispersion of the first kind

To the theory of central dispersions for the linear differential equations $y^{''} = q (t) y$ of a finite type-special

Information analysis in variant I of probabilistic model of the school achievement test with double choice response

Statistical analysis of variant II of probabilistic model of the school-achievement test with double-choice response

Special dispersions of the second order linear differential equations of a finite type special and their relation to the Kummer's transformation problem

Variant II of probabilistic model of school-achievement test with double choice response

On the properties of central dispersions of linear second order differential equations being of finite type-special

Statistical analysis of probabilistic model - variant I of the school-achievement test with double-choice response

Probabilistic model of school-achievement test with the correction account of the random choice and its statistical analysis

Weakly nonlinear regression model with constraints I: nonlinear hypothesis

How to deal with regression models with a weak nonlinearity

Weakly nonlinear constraints in regression models

Confidence regions in nonlinear models with constraints

Linearization regions for confidence ellipsoids