Results 191 to 200 of about 2,265,098 (244)

Statistical shortcomings in licensing applications

Statistics in Medicine, 1998
This paper concerns the statistical work carried out with respect to clinical trials conducted for regulatory purposes. Although the general quality of such work has improved markedly over recent years and is now generally high, a number of shortcomings remain. A few of these arise from failure to follow well established statistical practice.
John Lewis, Karen M. Facey
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Applications of Statistics

2019
Background Applications of Statistics Use in anatomy and physiology Use in pharmacology Use in internal medicine Use in surgery Use in community medicine Use in lab medicine Use in ...
Shakti Kumar Yadav, Ruchika Gupta, Sompal Singh   +2 more
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Statistical testing of Web applications

Journal of Software Maintenance and Evolution: Research and Practice, 2004
AbstractThe World Wide Web, initially intended as a way to publish static hypertexts on the Internet, is moving toward complex applications. Static Web sites are being gradually replaced by dynamic sites, where information is stored in databases and non‐trivial computation is performed.In such a scenario, ensuring the quality of a Web application from ...
P. Tonella, RICCA, FILIPPO
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Biopharmaceutical Sequential Statistical Applications

Biometrics, 1992
Focusing on group sequential procedures, summarizes the sequential statistical methods used in anticancer, antiviral, cardiovascular, and gastrointestinal drug research and screening. The clinical and preclinical applications are mainly presented as case studies, many of which form part of New ...
John Whitehead, K. E. Peace
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Applications of Boltzmann Statistics [PDF]

, 1995
In this chapter we want to show how what we have learned up to now can also be applied to quantum mechanical systems. However, this is not a truly quantum statistical consideration which takes into account the indistinguishability of the quantum mechanical particles. Those considerations will be introduced in part III of this book.
Walter Greiner, Horst Stöcker, L. Neise
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cogarch models a statistical application

2017
One of the reason that suggests to use COGARCH models to fit financial log-return data is due to the fact that they are able to capture the so called stylized facts observed in real data: uncorrelated log-returns but correlated absolute log-return, time varying volatility, conditional heteroscedasticity, cluster in volatility, heavy tailed and ...
Negri, Ilia, Bibbona, Enrico
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Applications in Statistics

1998
One of the most common structures for statistical datasets is a two-dimensional array. A matrix is often a convenient object for representing numeric data structured this way; the variables on the dataset generally correspond to the columns, and the observations correspond to the rows.
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Selected Applications in Statistics

2017
Data come in many forms. In the broad view, the term “data” embraces all representations of information or knowledge. There is no single structure that can efficiently contain all of these representations. Some data are in free-form text (for example, the Federalist Papers, which was the subject of a famous statistical analysis), other data are in a ...
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Applications of Statistics

Technometrics, 1978
Paruchuri R. Krishnaiah, James H. Ware
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Additional Statistical Applications

2010
Majorization has been used as a mathematical tool in a variety of statistical contexts. To illustrate these uses, several examples from diverse areas are given. These examples have been chosen in part be- cause the exposition of the statistical background is minimal, so that the main emphasis lies in the use of majorization. There are other ex- amples,
Barry C. Arnold, Ingram Olkin, Albert W. Marshall   +2 more
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