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Confidence distribution
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551	Chapter 14 Introduction to the Use of Bayesian Methods for Reliability Data William Q. Meeker and Luis A. Escobar Iowa State University and Louisiana State University Add to Reading List Source URL: www.public.iastate.edu Language: English - Date: 2014-01-13 04:42:19 Bayes estimator Bayesian inference Statistical theory Bayesian statistics Confidence interval Normal distribution Empirical Bayes method Prediction interval Maximum likelihood Statistics Estimation theory Statistical inference
552	Chapter 7 Parametric Likelihood Fitting Concepts: Exponential Distribution William Q. Meeker and Luis A. Escobar Iowa State University and Louisiana State University Add to Reading List Source URL: www.public.iastate.edu Language: English - Date: 2014-01-13 04:41:50 Confidence interval Fisher information Parametric model Exponential distribution Maximum likelihood Maximum spacing estimation Statistics Estimation theory Statistical theory
553	C:/Documents and Settings/wqmeeker/My Documents/wqm/Teaching/Stat533/Exams/stat533_exam1_2012.dvi Add to Reading List Source URL: www.public.iastate.edu Language: English - Date: 2012-03-08 23:32:40 Failure Engineering statistics Materials science Weibull distribution Reliability engineering Confidence interval Exponential distribution Standard error Weibull Statistics Survival analysis Estimation theory
554	Statistics 533 Spring 2010 Midterm Exam Name Add to Reading List Source URL: www.public.iastate.edu Language: English - Date: 2010-03-28 17:29:05 Econometrics Statistical theory Estimator Survival analysis Consistent estimator Confidence interval Normal distribution Delta method Maximum likelihood Statistics Estimation theory Statistical inference
555	Chapter 11 Parametric Maximum Likelihood: Other Models Parametric Maximum Likelihood: Other Models Chapter 11 Objectives Add to Reading List Source URL: www.public.iastate.edu Language: English - Date: 2014-01-13 04:42:09 Weibull distribution Log-normal distribution Normal distribution Maximum likelihood Confidence interval Gamma distribution Shape parameter Likelihood function Parameter Statistics Survival analysis Estimation theory
556	Statistics 533 Spring 2010 Final Examination Name Add to Reading List Source URL: www.public.iastate.edu Language: English - Date: 2010-05-16 20:34:24 Econometrics Regression analysis Reliability engineering Weibull distribution Prediction interval Accelerated failure time model Normal distribution Censoring Confidence interval Statistics Survival analysis Statistical inference
557	Chapter 10 Planning Life Tests Planning Life Tests Chapter 10 Objectives Add to Reading List Source URL: www.public.iastate.edu Language: English - Date: 2014-01-13 04:42:01 Estimation theory Statistical inference Measurement Fisher information Delta method Confidence interval Log-normal distribution Sample size determination Standard error Statistics Econometrics Normal distribution
558	Chapter 8 Maximum Likelihood for Location-Scale Based Distributions William Q. Meeker and Luis A. Escobar Iowa State University and Louisiana State University Add to Reading List Source URL: www.public.iastate.edu Language: English - Date: 2014-01-13 04:41:54 Statistical inference Normal distribution Econometrics Maximum likelihood Log-normal distribution Parametric model Confidence interval Multivariate normal distribution Fisher information Statistics Estimation theory Statistical theory
559	Computational Statistics and Data Analysis[removed]–5053 Contents lists available at ScienceDirect Computational Statistics and Data Analysis journal homepage: www.elsevier.com/locate/csda Add to Reading List Source URL: zoologia.hu Language: English - Date: 2011-04-19 09:29:34 Coverage probability Statistical hypothesis testing Relative risk Interval estimation Likelihood function Normal distribution Sample size determination Odds ratio Binomial proportion confidence interval Statistics Statistical inference Confidence interval
560	Point pattern analysis with Past Øyvind Hammer, Natural History Museum, University of Oslo, [removed]Introduction A point pattern is a distribution of points in space. We will focus on two-dimensional patterns. We Add to Reading List Source URL: nhm2.uio.no Language: English - Date: 2011-05-03 15:21:53 Poisson processes Point pattern analysis Siméon Denis Poisson Normal distribution Gaussian function Kernel density estimation Exponential distribution Confidence interval Statistics Exponentials Spatial data analysis