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Statistical Topics in the Laboratory Sciences
2007This chapter concerns statistical concepts and procedures that are applicable to diagnostic testing performed in the clinical laboratory. Three important laboratory issues are addressed: the estimation of analytical imprecision, the design of an effective laboratory quality control strategy, and the establishment of population reference ranges.
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Topics in statistical mechanics
2023Ce volume a pour but de donner un aperçu des « États de la recherche en Mécanique Statistique », organisés par la Société Mathématique de France en 2018, à l'Institut Henri Poincaré (Paris). La conférence a été un franc succès, rassemblant 125 mathématiciennes et mathématiciens de niveau master à celui de chercheuses et chercheurs confirmés.
Boutillier, Cédric +2 more
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2008
This thesis is divided into three parts. The first part investigates the presence of long term dependence in stock price data via a permutation test based on the correlation structure of the underlying stock prices. These tests reveal the short term nature of stock price dependence structure.
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This thesis is divided into three parts. The first part investigates the presence of long term dependence in stock price data via a permutation test based on the correlation structure of the underlying stock prices. These tests reveal the short term nature of stock price dependence structure.
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Topics in Statistical Inference
1994Regression Function. In many practical situations one investigates the dependence of a quantity on an other quantity, or quantities. An example of it is the dependence of the petrol consumption on the driving speed of a car. However, the main interest of mathematical statistics does not lie in the study of functional dependences of the form $$y = f\
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Statistical methods for topic segmentation
6th International Conference on Spoken Language Processing (ICSLP 2000), 2000Satya Dharanipragada +6 more
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Topics in Statistical Inference
1979In the preceding chapters, we have based inferences about an unknown parameter θ on the likelihood function itself (Chapters 9 and 10) or on tests of significance (Chapters 13, 14 and 15). These tests were themselves closely related to the likelihood function through the use of sufficient statistics and the likelihood ratio criterion. In Sections 1 and
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