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Technometrics, 2021
A machine learning system, in general, learns from the environment, but statistical machine learning programs (systems) learn from the data. This chapter presents techniques for statistical machine learning using Support Vector Machines (SVM) to ...
Yuhai Wu
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A machine learning system, in general, learns from the environment, but statistical machine learning programs (systems) learn from the data. This chapter presents techniques for statistical machine learning using Support Vector Machines (SVM) to ...
Yuhai Wu
semanticscholar +1 more source
A statistical interpretation of term specificity and its application in retrieval
J. Documentation, 2021The exhaustivity of document descriptions and the specificity of index terms are usually regarded as independent. It is suggested that specificity should be interpreted statistically, as a function of term use rather than of term meaning.
Karen Spärck Jones
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Molecular Ecology, 2002
While studies of phylogeography and speciation in the past have largely focused on the documentation or detection of significant patterns of population genetic structure, the emerging field of statistical phylogeography aims to infer the history and processes underlying that structure, and to provide objective, rather than ad hoc explanations.
L Lacey, Knowles, Wayne P, Maddison
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While studies of phylogeography and speciation in the past have largely focused on the documentation or detection of significant patterns of population genetic structure, the emerging field of statistical phylogeography aims to infer the history and processes underlying that structure, and to provide objective, rather than ad hoc explanations.
L Lacey, Knowles, Wayne P, Maddison
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Statistics, Adjusted Statistics, and Maladjusted Statistics
American Journal of Law & Medicine, 2017Statistical adjustment is a ubiquitous practice in all quantitative fields that is meant to correct for improprieties or limitations in observed data, to remove the influence of nuisance variables or to turn observed correlations into causal inferences. These adjustments proceed by reporting not what was observed in the real world, but instead modeling
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Statistical Power Analysis for the Behavioral Sciences
The SAGE Encyclopedia of Research Design, 1969Contents: Prefaces. The Concepts of Power Analysis. The t-Test for Means. The Significance of a Product Moment rs (subscript s). Differences Between Correlation Coefficients. The Test That a Proportion is .50 and the Sign Test.
Jacob Cohen
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, 2011 The first example involves the real data given in Table 1 which are the results of an interlaboratory test. The boxplots are shown in Fig. 1 where the dotted line denotes the mean of the observations and the solid line the median. We note that only the results of the Laboratories 1 and 3 lie below the mean whereas all the remaining laboratories return ...
Gather, Ursula, Davies, P. Laurie
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Current Protocols in Human Genetics, 2003
AbstractStatistics is a relatively new science with most of the important developments occurring within the last 100 years. The goal of this unit is to summarize some of the philosophical ideas behind statistics and to provide a general framework in the form of flowcharts for deciding which statistical test is appropriate for a given dataset and ...
Jason H, Moore +2 more
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AbstractStatistics is a relatively new science with most of the important developments occurring within the last 100 years. The goal of this unit is to summarize some of the philosophical ideas behind statistics and to provide a general framework in the form of flowcharts for deciding which statistical test is appropriate for a given dataset and ...
Jason H, Moore +2 more
openaire +2 more sources