Foundations of Statistical Inference
Editat de Yoel Haitovsky, Hans Rudolf Lerche, Ya'acov Ritoven Limba Engleză Paperback – 22 mai 2003
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Specificații
ISBN-13: 9783790800470
ISBN-10: 3790800473
Pagini: 244
Ilustrații: XII, 230 p.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.38 kg
Ediția:Softcover reprint of the original 1st ed. 2003
Editura: Physica
Locul publicării:Heidelberg, Germany
ISBN-10: 3790800473
Pagini: 244
Ilustrații: XII, 230 p.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.38 kg
Ediția:Softcover reprint of the original 1st ed. 2003
Editura: Physica
Locul publicării:Heidelberg, Germany
Public țintă
ResearchCuprins
I. Identification with Incomplete Observations, Data Mining.- Bounding Entries in Multi-way Contingency Tables Given aSet of Marginal Totals.- Identification and Estimation with Incomplete Data.- Computational Information Retrieval.- Studying Treatment Response to Inform Treatment Choice.- II. Bayesian Methods and Modelling.- Some Interactive Decision Problems Emerging in Statistical Games.- Probabilistic Modelling: An Historical andPhilosophical Digression.- A Bayesian View on Sampling the 2 x 2 Table.- Bayesian Designs for Binomial Experiments.- On the Second Order Minimax Improvement of the Sample Mean in the Estimation of a Mean Value of the Exponential Dispersion Family.- Bayesian Analysis of Cell Migration ¡ªLinking Experimental Data and Theoretical Models.- III. Testing, Goodness of Fit and Randomness.- Sequential Bayes Detection of Trend Changes.- Box¡ªCox Transformation for Semiparametric Comparison of Two Samples.- Minimax Nonparametric Goodness-of-Fit Testing.- Testing Randomness on the Basis of theNumber of Different Patterns.- The 7r* Index as a New Alternative for Assessing Goodness of Fit of Logistic Regression.- IV. Statistics of Stationary Processes.- Consistent Estimation of Early and Frequent Change Points.- Asymptotic Behaviour of Estimators of the Parameters of Nearly Unstable INAR(1) Models.- Guessing the Output of a Stationary Binary Time Series.- Asymptotic Expansions for Long-MemoryStationary Gaussian Processes.- Contributors.
Textul de pe ultima copertă
This volume is a compressed survey containing recent results on statistics of stochastic processes and on identification with incomplete observations. It comprises a collection of papers presented at the Shoresh Conference 2000 on the Foundation of Statistical Inference. The papers cover the following areas with high research activity:
- Identification with Incomplete Observations, Data Mining,
- Bayesian Methods and Modelling,
- Testing, Goodness of Fit and Randomness,
- Statistics of Stationary Processes.
- Identification with Incomplete Observations, Data Mining,
- Bayesian Methods and Modelling,
- Testing, Goodness of Fit and Randomness,
- Statistics of Stationary Processes.