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Statistical testing of Web applications
Journal of Software Maintenance and Evolution: Research and Practice, 2004AbstractThe 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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COGARCH MODELS: A STATISTICAL APPLICATION
Statistica & Applicazioni, 2017One 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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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 +2 more
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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 +2 more
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Empirical Processes with Applications to Statistics.
The Statistician, 198722. Empirical Processes with Applications to Statistics. By G. R. Shorack and J. A. Wellner. ISBN 0 471 86725 X. Wiley, 1986. xxxvii, 938p. £57.45 (Wiley Series in Probability and Mathematical Statistics.)
Dennis D. Boos +2 more
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1997
Here some applications are discussed (cluster analysis, teachware, regression methods). The cluster analysis will serve as an example for the use of graphics. Teachware needs to be highly interactive and we shortly discuss the approach of Proenca (1995). The section about regression methods shows how detailed a programming language should be. The trade-
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Here some applications are discussed (cluster analysis, teachware, regression methods). The cluster analysis will serve as an example for the use of graphics. Teachware needs to be highly interactive and we shortly discuss the approach of Proenca (1995). The section about regression methods shows how detailed a programming language should be. The trade-
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Elementary Statistical Applications
1997With the basic introduction of wavelets in Chapter 1 and the overview of standard smoothing techniques in Chapter 2, we are ready to combine these concepts and examine some fundamental applications of wavelets in function estimation. This chapter will focus on wavelet versions of the two types of estimators discussed in Chapter 2 (kernels and ...
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Statistical Applications of Linear Assignment
Psychometrika, 1984A comprehensive statistical framework is presented which encompasses a wide range of existing nonparametric methods. The basic strategy, referred to as linear assignment (LA), depends on a simple index of correspondence defined between two object sets that have been matched in some a priori manner.
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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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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.
openaire +1 more source