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Mathematical Statistics: Essays on History and Methodology

Pfanzagl, Johann

1, 2017

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Estimation in Semiparametric Models: Some Recent Developments

Pfanzagl, Johann

1, 1990

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Parametric Statistical Theory

Pfanzagl, Johann

Reprint 2011., 2011

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Contributions to a general asymptotic statistical theory

1, 1982

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Compact Systems of Sets

1966 edition., 2006

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Elementare Wahrscheinlichkeitsrechnung

Pfanzagl, Johann

Second Edition., 1991

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Elementare Wahrscheinlichkeitsrechnung

Pfanzagl, Johann

2, 2011

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Asymptotic Expansions for General Statistical Models

1, 1985

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An alternative approach to asymptotic optimality

Journal of statistical planning and inference, 2003-09, Vol.116 (1), p.17-47

Pfanzagl, J.

2003

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Essays in Mathematical Economics, in Honor of Oskar Morgenstern

1, 2015

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On local uniformity for estimators and confidence limits

Journal of statistical planning and inference, 2000-03, Vol.84 (1), p.27-53

Pfanzagl, J.

2000

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Asymptotic bounds for estimators without limit distribution

Annals of the Institute of Statistical Mathematics, 2003-03, Vol.55 (1), p.95-110

PFANZAGL, J

2003

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The nonexistence of confidence sets for discontinuous functionals

Journal of statistical planning and inference, 1998-11, Vol.75 (1), p.9-20

Pfanzagl, J.

1998

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Subjective Probability Derived from the Morgenstern–von Neumann Utility Concept

Essays in Mathematical Economics, in Honor of Oskar Morgenstern, 2015, p.237-252

2015

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Contributions to a General Asymptotic Statistical Theory

2012

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Incidental Versus Random Nuisance Parameters

The Annals of statistics, 1993-12, Vol.21 (4), p.1663-1691

Pfanzagl, J.

1993

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Operations Research: Eine Einführung in die Unternehmensforschung

2015

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On rates and limit distributions

Annals of the Institute of Statistical Mathematics, 1999-12, Vol.51 (4), p.755-778

PFANZAGL, J

1999

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Studies in the history of probability and statistics XLIV A forerunner of the t-distribution

Biometrika, 1996-12, Vol.83 (4), p.891-898

1996

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Are regularly estimable functionals always differentiable?

Aequationes mathematicae, 2000-05, Vol.59 (3), p.262-272

Pfanzagl, J.

2000

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Consistency of maximum likelihood estimators for certain nonparametric families, in particular: mixtures

Journal of statistical planning and inference, 1988, Vol.19 (2), p.137-158

Pfanzagl, J.

1988

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A case of asymptotic equivalence between conditional and marginal maximum likelihood estimators

Journal of statistical planning and inference, 1993-06, Vol.35 (3), p.301-307

Pfanzagl, J.

1993

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On the identifiability of structural parameters in mixtures: applications to psychological tests

Journal of statistical planning and inference, 1994-03, Vol.38 (3), p.309-326

Pfanzagl, J.

1994

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Large Deviation Probabilities for Certain Nonparametric Maximum Likelihood Estimators

The Annals of statistics, 1990-12, Vol.18 (4), p.1868-1877

Pfanzagl, J.

1990

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Sequences of Optimal Unbiased Estimators Need Not Be Asymptotically Optimal

Scandinavian journal of statistics, 1993-01, Vol.20 (1), p.73-76

Pfanzagl, J.

1993

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Mathematical Statistics: Essays on History and Methodology

Estimation in Semiparametric Models: Some Recent Developments

Parametric Statistical Theory

Contributions to a general asymptotic statistical theory

Compact Systems of Sets

Elementare Wahrscheinlichkeitsrechnung

Elementare Wahrscheinlichkeitsrechnung

Asymptotic Expansions for General Statistical Models

An alternative approach to asymptotic optimality

Essays in Mathematical Economics, in Honor of Oskar Morgenstern

On local uniformity for estimators and confidence limits

Asymptotic bounds for estimators without limit distribution

The nonexistence of confidence sets for discontinuous functionals

Subjective Probability Derived from the Morgenstern–von Neumann Utility Concept

Contributions to a General Asymptotic Statistical Theory

Incidental Versus Random Nuisance Parameters

Operations Research: Eine Einführung in die Unternehmensforschung

On rates and limit distributions

Studies in the history of probability and statistics XLIV A forerunner of the t-distribution

Are regularly estimable functionals always differentiable?

Consistency of maximum likelihood estimators for certain nonparametric families, in particular: mixtures

A case of asymptotic equivalence between conditional and marginal maximum likelihood estimators

On the identifiability of structural parameters in mixtures: applications to psychological tests

Large Deviation Probabilities for Certain Nonparametric Maximum Likelihood Estimators

Sequences of Optimal Unbiased Estimators Need Not Be Asymptotically Optimal

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