Exact and Approximate Stepdown Methods for Multiple Hypothesis Testing
نویسندگان
چکیده
منابع مشابه
Exact hypothesis testing and confidence interval for mean of the exponential distribution under Type-I progressive hybrid censoring
Censored samples are discussed in experiments of life-testing; i.e. whenever the experimenter does not observe the failure times of all units placed on a life test. In recent years, inference based on censored sampling is considered, so that about the parameters of various distributions such as normal, exponential, gamma, Rayleigh, Weibull, log normal, inverse Gaussian, ...
متن کاملHYPOTHESIS TESTING FOR AN EXCHANGEABLE NORMAL DISTRIBUTION
Consider an exchangeable normal vector with parameters ????2, and ?. On the basis of a vector observation some tests about these parameters are found and their properties are discussed. A simulation study for these tests and a few nonparametric tests are presented. Some advantages and disadvantages of these tests are discussed and a few applications are given.
متن کاملMdl Multiple Hypothesis Testing
This paper examines the problem of simultaneously testing many independent multiple hypotheses within the minimum encoding framework. We introduce an efficient coding scheme for nominating the accepted hypotheses in addition to compressing the data given these hypotheses. This formulation reveals an interesting connection between multiple hypothesis testing and mixture modelling with the class ...
متن کاملConditioning Methods for Exact and Approximate Inference in Causal Networks
We present two algorithms for exact and ap proximate inference in causal networks. The first algorithm, dynamic conditioning, is a re finement of cutset conditioning that has lin ear complexity on some networks for which cutset conditioning is exponential. The sec ond algorithm, B-conditioning, is an algo rithm for approximate inference that allows one to trade-off the quality of approxima...
متن کاملMultiple Hypothesis Testing for Data Mining
INTRODUCTION A number of important problems in data mining can be usefully addressed within the framework of statistical hypothesis testing. However, while the conventional treatment of statistical significance deals with error probabilities at the level of a single variable, practical data mining tasks tend to involve thousands, if not millions , of variables. This Chapter looks at some of the...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the American Statistical Association
سال: 2005
ISSN: 0162-1459,1537-274X
DOI: 10.1198/016214504000000539