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Nonparametric statistical tests for the continuous data: the basic concept and the practical use [PDF]
Conventional statistical tests are usually called parametric tests. Parametric tests are used more frequently than nonparametric tests in many medical articles, because most of the medical researchers are familiar with and the statistical software ...
Francis Sahngun Nahm
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Consistent tests of conditional moment restrictions [PDF]
We propose two classes of consistent tests in parametric econometric models defined through multiple conditional moment restrictions. The first type of tests relies on nonparametric estimation, while the second relies on a functional of a marked ...
Domínguez, Manuel A. +2 more
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Parametrizations for Tests of Gravity [PDF]
With the increasing wealth of high-quality astronomical and cosmological data and the manifold departures from General Relativity in principle conceivable, the development of generalized parametrization frameworks that unify gravitational models and cover a wide range of length scales and a variety of observational probes to enable systematic high ...
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The shifting boxplot. A boxplot based on essential summary statistics around the mean.
Boxplots are a useful and widely used graphical technique to explore data in order to better understand the information we are working with. Boxplots display the first, second and third quartile as well as the interquartile range and outliers of a data ...
Fernando Marmolejo-Ramos, Tian Siva Tian
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Multiple Outlier Detection Tests for Parametric Models
We propose a simple multiple outlier identification method for parametric location-scale and shape-scale models when the number of possible outliers is not specified.
Vilijandas Bagdonavičius +1 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rayner, J. C. W, Carolan, A. M.
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Shengping Yang, Gilbert Berdine
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Unexpected failures of recommended tests in basic statistical analyses of ecological data [PDF]
Ecologists, when analyzing the output of simple experiments, often have to compare statistical samples that simultaneously are of uneven size, unequal variance and distribute non-normally.
Z. Kikvidze, J. Moya-Laraño
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Central limit theorem: the cornerstone of modern statistics [PDF]
According to the central limit theorem, the means of a random sample of size, n, from a population with mean, µ, and variance, σ2, distribute normally with mean, µ, and variance, σ2n.
Sang Gyu Kwak, Jong Hae Kim
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The common parametric statistics used for testing two independent populations have often required the assumptions of normality and equal variances. Nonparametric tests have been used when assumptions of parametric tests cannot be achieved.
Wandee Wanishsakpong +2 more
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