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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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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 Pattern Recognition
1976Pattern recognition, from the broadest viewpoint, is the study of how one puts abstract objects or patterns into categories in a simple reliable way. We have chosen three areas to review: Nonparametric Discrimination, Finite Memory Learning, and Pattern Complexity.
T. J. Wagner, Thomas M. Cover
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An Introduction to the Theory of Reproducing Kernel Hilbert Spaces
, 2016Reproducing kernel Hilbert spaces have developed into an important tool in many areas, especially statistics and machine learning, and they play a valuable role in complex analysis, probability, group representation theory, and the theory of integral ...
V. Paulsen, M. Raghupathi
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Special Topics: Statistical Power
2013As we have seen in earlier chapters, criminal justice researchers place a premium on statistical inference and its use in making decisions about population parameters from sample statistics. In assessing statistical significance, The focus is the problem of Type I, or alpha (α), error the risk of falsely rejecting the null hypothesis.
David Weisburd, Chester Britt
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Topics in Statistical Oceanography
1996The aim of this paper is to review some recent results in Lagrangian analysis. These results concentrate on the very old and classical problem of the transition from Lagrangian statistics, drifter trajectories, to Eulerian data. In this area the number of physics publications is incredibly large, and it is difficult to find formulas which are not ...
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A Statistical Model for Topically Segmented Documents [PDF]
Generative models for text data are based on the idea that a document can be modeled as a mixture of topics, each of which is represented as a probability distribution over the terms. Such models have traditionally assumed that a document is an indivisible unit for the generative process, which may not be appropriate to handle documents with an ...
G. Ponti, TAGARELLI, Andrea, G. Karypis
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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 Intermediate Statistical Materials
Technometrics, 1969(1969). Topics In Intermediate Statistical Materials. Technometrics: Vol. 11, No. 2, pp. 403-404.
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A comprehensive review of Bayesian statistics in natural hazards engineering
Natural Hazards, 2021Ye Zheng, Yazhou Xie, Xuejiao Long
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