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Breakthroughs in Statistics : Foundations and Basic Theory.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Kotz, Samuel
Otros Autores: Johnson, Norman L.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : Springer New York, 1992.
Edición:N.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Springer Series in Statistics; Breakthroughs in Statistics Volume I; Copyright; Preface; Contents; Contributors; Sources and Acknowledgments; Editorial Note; Statistical Frontiers*; Comments on Cox (1957) Statistical Frontiers; Introduction to Fisher (1922) On the Mathematical Foundations of Theoretical Statistics; On the Mathematical Foundations of Theoretical Statistics; Introduction to Hotelling (1931) The Generalization of Student's Ratio; The Generalization of Student's Ratio*; Introduction to Neyman and Pearson (1933) On the Problem of the Most Efficient Tests of Statistical Hypotheses.
  • On the Problem of the Most Efficient Tests of Statistical HypothesesIntroduction to Bartlett (1937) Properties of Sufficiency and Statistical Tests; Properties of Sufficiency and Statistical Tests; Introduction to de Finetti (1937) Foresight: Its Logical Laws, Its Subjective Sources; Foresight: Its Logical Laws, Its Subjective Sources; Introduction to Cramér (1942) On Harmonic Analysis in Certain Functional Spaces; On Harmonic Analysis in Certain Functional Spaces; Introduction to Gnedenko (1943) On the Limiting Distribution of the Maximum Term in a Random Series.
  • On the Limiting Distribution of the Maximum Term in a Random SeriesIntroduction to Rao (1945) Information and the Accuracy Attainable in the Estimation of Statistical Parameters; Information and the Accuracy Attainable in the Estimation of Statistical Parameters; Introduction to Wald (1945) Sequential Tests of Statistical Hypotheses; Sequential Tests of Statistical Hypotheses; Introduction to Hoeffding (1948) A Class of Statistics with Asymptotically Normal Distribution; A Class of Statistics with Asymptotically Normal Distribution 1; Introduction to Wald (1949) Statistical Decision Functions.
  • Statistical Decision FunctionsIntroduction to Good (1952) Rational Decisions; Rational Decisions*; Introduction to Robbins (1955) An Empirical Bayes Approach to Statistics; An Empirical Bayes Approach to Statistics 1; Introduction to Kiefer (1959) Optimum Experimental Designs; Optimum Experimental Designs; Introduction to James and Stein (1961) Estimation with Quadratic Loss; Estimation with Quadratic Loss 1; Introduction to Birnbaum (1962) On the Foundations of Statistical Inference; On the Foundations of Statistical Inference 1.
  • Introduction to Edwards, Lindman, and Savage (1963) Bayesian Statistical Inference for Psychological ResearchBayesian Statistical Inference for Psychological Research 1; Introduction to Fraser (1966) Structural Probability and a Generalization; Structural Probability and a Generalization *; Introduction to Akaike (1973) Information Theory and an Extension of the Maximum Likelihood Principle; Information Theory and an Extension of the Maximum Likelihood Principle; Index.