This paper presents a set of REDUCE procedures making a number of existing higher-order asymptotic results available for both theoretical and practical research. Attention has been restricted to the context of approximate conditional inference for multiparameter full rank exponential families. Most of the procedures support algebraic computation as well as numerical calculation for a given data set. Examples are given for both kinds of applications. All numerical results involve discrete data following log-linear models
学位の種別: 課程博士審査委員会委員 : (主査)東京大学教授 竹村 彰通, 東京大学教授 駒木 文保 東京大学教授 山西 健司, 東京大学准教授 平井 広志, 統計数理研究所教授 栗木
AbstractA unified theory of simultaneous estimation of parameters for the continuous exponential fam...
This paper extends the projected score methods of Small & McLeish (1989). It is shown that the c...
This paper presents a set of REDUCE procedures making a number of existing higher-order asymptotic r...
This paper presents a set of REDUCE procedures making a number of existing higher-order asymptotic r...
This paper presents a set of REDUCE procedures that make a number of existing higher-order asymptoti...
The extension of exact conditional inference to include so-called approximate conditional methods ha...
The extension of exact conditional inference to include so-called approximate conditional methods ha...
Recently developed small-sample asymptotics provide nearly exact inference for parametric statistica...
Recently developed small-sample asymptotics provide nearly exact inference for parametric statistica...
A REDUCE v 3.36 package written by Ruggero Bellio and Alessandra R. Brazzale that implements approxi...
The field of algebraic statistics arose from the realization that problems in statistics can often b...
For testing canonical parameters in a continuous exponential family, P-values based on higher order ...
Conditional inference is an intrinsic part of statistical theory, though not routinely of statistica...
Consider a standard conjugate family of prior distributions for a vectorparameter indexing an expone...
学位の種別: 課程博士審査委員会委員 : (主査)東京大学教授 竹村 彰通, 東京大学教授 駒木 文保 東京大学教授 山西 健司, 東京大学准教授 平井 広志, 統計数理研究所教授 栗木
AbstractA unified theory of simultaneous estimation of parameters for the continuous exponential fam...
This paper extends the projected score methods of Small & McLeish (1989). It is shown that the c...
This paper presents a set of REDUCE procedures making a number of existing higher-order asymptotic r...
This paper presents a set of REDUCE procedures making a number of existing higher-order asymptotic r...
This paper presents a set of REDUCE procedures that make a number of existing higher-order asymptoti...
The extension of exact conditional inference to include so-called approximate conditional methods ha...
The extension of exact conditional inference to include so-called approximate conditional methods ha...
Recently developed small-sample asymptotics provide nearly exact inference for parametric statistica...
Recently developed small-sample asymptotics provide nearly exact inference for parametric statistica...
A REDUCE v 3.36 package written by Ruggero Bellio and Alessandra R. Brazzale that implements approxi...
The field of algebraic statistics arose from the realization that problems in statistics can often b...
For testing canonical parameters in a continuous exponential family, P-values based on higher order ...
Conditional inference is an intrinsic part of statistical theory, though not routinely of statistica...
Consider a standard conjugate family of prior distributions for a vectorparameter indexing an expone...
学位の種別: 課程博士審査委員会委員 : (主査)東京大学教授 竹村 彰通, 東京大学教授 駒木 文保 東京大学教授 山西 健司, 東京大学准教授 平井 広志, 統計数理研究所教授 栗木
AbstractA unified theory of simultaneous estimation of parameters for the continuous exponential fam...
This paper extends the projected score methods of Small & McLeish (1989). It is shown that the c...