Statistical Distributions in Scientific Work (eBook, PDF)
Volume 5 - Inferential Problems and Properties
Redaktion: Taillie, Charles; Baldessari, Bruno A.; Patil, Ganapati P.
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Statistical Distributions in Scientific Work (eBook, PDF)
Volume 5 - Inferential Problems and Properties
Redaktion: Taillie, Charles; Baldessari, Bruno A.; Patil, Ganapati P.
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Proceedings of the NATO Advanced Study Institute, Trieste, Italy, July 10-August 1, 1980
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- Größe: 30.58MB
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Proceedings of the NATO Advanced Study Institute, Trieste, Italy, July 10-August 1, 1980
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Springer Netherlands
- Seitenzahl: 439
- Erscheinungstermin: 6. Dezember 2012
- Englisch
- ISBN-13: 9789400985520
- Artikelnr.: 44181358
- Verlag: Springer Netherlands
- Seitenzahl: 439
- Erscheinungstermin: 6. Dezember 2012
- Englisch
- ISBN-13: 9789400985520
- Artikelnr.: 44181358
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
Section I: Distributional Testing and Goodness-of-Fit.- A Review of Distributional Testing Procedures and Development of a Censored Sample Distributional Test.- A Goodness-of-Fit Procedure for Testing Whether a Reliability Growth Model Fits Data that Show Improvement.- Chi-Square Goodness-of-Fit Tests Based on Dependent Observations.- An Asymptotically Distribution-Free Goodness-of-Fit Test for Families of Statistical Distributions Depending on Two Parameters.- Conditionality Properties for the Bivariate Logarithmic Distribution with an Application to Goodness of Fit.- Section II: Parameter Estimation.- A Survey of Estimating Distributional Parameters and Sample Sizes from Truncated Samples.- Parameter Estimation for Truncated Exponential Families.- Properties of the Maximum Likelihood Estimator of a Mixing Distribution.- Conditional Maximum Likelihood Estimation in Gaussian Mixtures.- Estimation of Pareto Parameters by Numerical Methods.- A New Estimation Procedure for the Three-Parameter Lognormal Distribution.- Section III: Hypothesis Testing.- On the Asymptotic Distribution of the Multivariate Cramer-von Mises and Hoeffding-Blum-Kiefer- Rosenblatt Independence Criteria.- Complete Independence in the Multivariate Normal Distribution.- On Tests of Independence Under Bivariate Exponential Models.- On Tests for Detecting Change in the Multivariate Mean.- A Two-Dimensional t-Distribution and a New Test With Flexible Type I Error Control.- Testing Outliers in Multivariate Data.- Section IV: Approximations.- A Normal Approximation for the Multivariate Likelihood Ratio Statistics.- Explicit Accurate Approximations for Fitting the Parameters of LU.- A Method for the Evaluation of Cumulative Probabilities of Bivariate Distributions Using the Pearson Family.- Transformation ofa Discrete Distribution to Near Normality.- Section V: Reliability and Life Testing.- Multivariate Distributions in Reliability Theory and Life Testing.- Hazard Rates Based on Isoprobability Contours.- Failure Time Distributions: Estimates and Asymptotic Results.- A Note on Shock Model Justification for IFR Distributions.- On the Mean Residual Life Function in Survival Studies.- Identifiability Problems in the Theory of Competing and Complementary Risks - A Survey.- Dependence Concepts for Stochastic Processes.- Section VI: Miscellaneous.- Some Distribution Theory Related to the Analysis of Subjective Performance in Inferential Tasks.- Every Body Has Its Moments.- Some Distributions in the Theory of Graphs.- Cograduation Between Statistical Distributions and Its Applications-A General Review.- Author Index.
Section I: Distributional Testing and Goodness-of-Fit.- A Review of Distributional Testing Procedures and Development of a Censored Sample Distributional Test.- A Goodness-of-Fit Procedure for Testing Whether a Reliability Growth Model Fits Data that Show Improvement.- Chi-Square Goodness-of-Fit Tests Based on Dependent Observations.- An Asymptotically Distribution-Free Goodness-of-Fit Test for Families of Statistical Distributions Depending on Two Parameters.- Conditionality Properties for the Bivariate Logarithmic Distribution with an Application to Goodness of Fit.- Section II: Parameter Estimation.- A Survey of Estimating Distributional Parameters and Sample Sizes from Truncated Samples.- Parameter Estimation for Truncated Exponential Families.- Properties of the Maximum Likelihood Estimator of a Mixing Distribution.- Conditional Maximum Likelihood Estimation in Gaussian Mixtures.- Estimation of Pareto Parameters by Numerical Methods.- A New Estimation Procedure for the Three-Parameter Lognormal Distribution.- Section III: Hypothesis Testing.- On the Asymptotic Distribution of the Multivariate Cramer-von Mises and Hoeffding-Blum-Kiefer- Rosenblatt Independence Criteria.- Complete Independence in the Multivariate Normal Distribution.- On Tests of Independence Under Bivariate Exponential Models.- On Tests for Detecting Change in the Multivariate Mean.- A Two-Dimensional t-Distribution and a New Test With Flexible Type I Error Control.- Testing Outliers in Multivariate Data.- Section IV: Approximations.- A Normal Approximation for the Multivariate Likelihood Ratio Statistics.- Explicit Accurate Approximations for Fitting the Parameters of LU.- A Method for the Evaluation of Cumulative Probabilities of Bivariate Distributions Using the Pearson Family.- Transformation ofa Discrete Distribution to Near Normality.- Section V: Reliability and Life Testing.- Multivariate Distributions in Reliability Theory and Life Testing.- Hazard Rates Based on Isoprobability Contours.- Failure Time Distributions: Estimates and Asymptotic Results.- A Note on Shock Model Justification for IFR Distributions.- On the Mean Residual Life Function in Survival Studies.- Identifiability Problems in the Theory of Competing and Complementary Risks - A Survey.- Dependence Concepts for Stochastic Processes.- Section VI: Miscellaneous.- Some Distribution Theory Related to the Analysis of Subjective Performance in Inferential Tasks.- Every Body Has Its Moments.- Some Distributions in the Theory of Graphs.- Cograduation Between Statistical Distributions and Its Applications-A General Review.- Author Index.