Locally Most Powerful Rank Tests for Independence with Censored Data
نویسندگان
چکیده
منابع مشابه
The behavior of locally most powerful tests
The locally most powerful (LMP) tests of the hypothesis H : 6 = 6Q against one-sided as well as two-sided alternatives are compared with several competitive tests, as the likelihood ratio tests, the Wald-type tests and the Rao score tests, for several distribution shapes and for location, shape and vector parameters. A simulation study confirms the importance of the condition of local unbiasedn...
متن کاملLocally Most Powerful Tests Based on Sequential Ranks
Sequential ranks of data X1, X2, . . . observed sequentially in time are defined as ranks computed from the data observed so far, denoting Rii the rank of Xi among the values X1, X2, . . . , Xi for any i. This paper studies tests of various hypotheses based on sequential ranks and derives such tests, which are locally most powerful among all tests based on sequential ranks. Such locally most po...
متن کاملI I . I I I I Asymptotically Most Powerful Rank Order Tests for Grouped Data
The object of the present investigation is to extend the findings of Hajek [5J on asymptotically most powerful rank order tests (AMPROT) to grouped data where the underlying distributions are essentially continuous but I the observable random variables correspond to a finite or countable set of contiguous class intervals. In this context, the two sample problem for grouped data is considered an...
متن کاملFailure Process Modeling with Censored Data in Accelerated Life Tests
Manufacturers need to evaluate the reliability of their products in order to increase the customer satisfaction. Proper analysis of reliability also requires an effective study of the failure process of a product, especially its failure time. So, the Failure Process Modeling (FPM) plays a key role in the reliability analysis of the system that has been less focused on. This paper introduces a f...
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: The Annals of Statistics
سال: 1975
ISSN: 0090-5364
DOI: 10.1214/aos/1176343014