Showing 1 - 10 of 12
Most standard statistical methods treat numerical data as if they were real (infinitenumber- of-decimal-places) observations. The issue of quantization or digital resolution is recognized by engineers and metrologists, but is largely ignored by statisticians and can render standard statistical...
Persistent link: https://www.econbiz.de/10010511727
Persistent link: https://www.econbiz.de/10001901600
Persistent link: https://www.econbiz.de/10012628006
Statistics with Vague Data -- 8.1 Expected Value -- 8.2 Variance -- 8.3 Empirical Distribution Function -- 9 Distribution … Software Tool for Statistics with Vague Data -- 12.1 Linguistic Modelling -- 12.2 Linguistic Approximation -- 12.3 Examples …
Persistent link: https://www.econbiz.de/10013519281
It is argued that a main aim of statistics is to produce statistical procedures which in this article are defined as … statistical functionals. In the final section some aspects of robust statistics are discussed again with special reference to …
Persistent link: https://www.econbiz.de/10009770519
The structural analysis of proteins is fundamental to the analysis of protein functions. In this context, sequence-structure alignment methods are important among the different empirical methods. In order to assess the quality of sequence-structure alignments, a statistical method using a...
Persistent link: https://www.econbiz.de/10009770909
Persistent link: https://www.econbiz.de/10011570138
Persistent link: https://www.econbiz.de/10010442125
intended as a text book for a one semester course for advanced undergraduate and graduate classes in statistics, mathematics of …
Persistent link: https://www.econbiz.de/10013518636
continuous bivariate distributions with finite contingency -- Robustness of many-one statistics -- Testing hypotheses in …
Persistent link: https://www.econbiz.de/10013518813