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Monte Carlo simulationMusic genre
In this work we are focusing on Monte Carlo simulation tests, in particular we are dealing with envelope and deviation tests. We describe the development of envelope tests from standard envelope tests, in which we can not control significance level, through refined envelope tests, where we can control the significance level indirectly, to exact envelope tests, for which the significance level can be chosen in advance. We will show how the exact envelope tests are related to deviation tests. Further we compare individual kinds of tests using examples and describe their advantages and disadvantages
Photon propagation in biological tissues can be modeled with Monte Carlo simulations numerically. Ho...
Different statistical procedures are differently sensitive to data rounding. It turns out that tests...
This paper argues that it is wrong to require that regressing the outputs of a trace-driven simulati...
Abstract. Conventional procedures for Monte Carlo and bootstrap tests require that B, the number of ...
Envelope tests are a popular tool in goodness-of-fit testing in spatial statistics. These tests grap...
This chapter describes the set up step series, developed by the Genoa Research Group on Production S...
This paper aims to highlight the problem of multiple significance testing with several dependent var...
This chapter describes the set up step series, developed by the Genoa Research Group on Production S...
The Monte Carlo technique is an alternative to semi-quantitative simulation of incompletely known di...
The technique of Monte Carlo (MC) tests [Dwass (1957), Barnard (1963)] provides an attractive method...
This paper reviews recent advances made in testing in spatial statistics and discussed at the Spatia...
This article concerns the nonparametric Fisher–Pitman tests for paired replicates and independent sa...
We consider three general classes of data-driven statistical tests. Neyman's smooth tests, data-driv...
The deviation test belong to core tools in point process statistics, where hypotheses are typically ...
By definition, computer simulation or Monte Carlo models are not solved by mathematical analysis (su...
Photon propagation in biological tissues can be modeled with Monte Carlo simulations numerically. Ho...
Different statistical procedures are differently sensitive to data rounding. It turns out that tests...
This paper argues that it is wrong to require that regressing the outputs of a trace-driven simulati...
Abstract. Conventional procedures for Monte Carlo and bootstrap tests require that B, the number of ...
Envelope tests are a popular tool in goodness-of-fit testing in spatial statistics. These tests grap...
This chapter describes the set up step series, developed by the Genoa Research Group on Production S...
This paper aims to highlight the problem of multiple significance testing with several dependent var...
This chapter describes the set up step series, developed by the Genoa Research Group on Production S...
The Monte Carlo technique is an alternative to semi-quantitative simulation of incompletely known di...
The technique of Monte Carlo (MC) tests [Dwass (1957), Barnard (1963)] provides an attractive method...
This paper reviews recent advances made in testing in spatial statistics and discussed at the Spatia...
This article concerns the nonparametric Fisher–Pitman tests for paired replicates and independent sa...
We consider three general classes of data-driven statistical tests. Neyman's smooth tests, data-driv...
The deviation test belong to core tools in point process statistics, where hypotheses are typically ...
By definition, computer simulation or Monte Carlo models are not solved by mathematical analysis (su...
Photon propagation in biological tissues can be modeled with Monte Carlo simulations numerically. Ho...
Different statistical procedures are differently sensitive to data rounding. It turns out that tests...
This paper argues that it is wrong to require that regressing the outputs of a trace-driven simulati...
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