Results 21 to 30 of about 2,729,407 (305)
Axioms, 2021 In this article, we introduce a new flexible discrete family of distributions, which accommodates wide collection of monotone failure rates. A sub-model of geometric distribution or a discrete generalization of the exponential model is proposed as a ...
Jiju Gillariose +5 more
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A General Class of Confidence Interval [PDF]
Nature, 1946 AMONG types of statistical inference about unknown parameters statements are possible which have a statistical truth, that is, they are random variables such that within the statistical framework adopted the probability of their being in error is known.
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Media Statistika, 2020 Confidence interval estimation is important in statistical inference for the parameters of the regression model, but the theory of confidence interval estimation for multi-response semiparametric regression model parameters based on the truncated spline ...
Lilik Hidayati +2 more
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, 2023 Negative binomial generalized linear model results as incidence risk ratios (IRR) and 95% confidence interval of Lyme disease risk from residential exposure for selected variables.
Nicholas H. Ogden (9367942) +7 more
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Measuring the dispersion of rainfall using Bayesian confidence intervals for coefficient of variation of delta-lognormal distribution: a study from Thailand [PDF]
PeerJ, 2019 Since rainfall data series often contain zero values and thus follow a delta-lognormal distribution, the coefficient of variation is often used to illustrate the dispersion of rainfall in a number of areas and so is an important tool in statistical ...
Noppadon Yosboonruang +2 more
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Confidence intervals for the random forest generalization error
Pattern Recognition Letters, 2022 We show that the byproducts of the standard training process of a random forest yield not only the well known and almost computationally free out-of-bag point estimate of the model generalization error, but also give a direct path to compute confidence intervals for the generalization error which avoids processes of data splitting and model retraining.
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Tolerance problems for generalized eigenvectors of interval fuzzy matrices [PDF]
, 2022 summary:Fuzzy algebra is a special type of algebraic structure in which classical addition and multiplication are replaced by maximum and minimum (denoted $ \oplus $ and $ \otimes $, respectively).
Myšková, Helena +7 more
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Confidence band approximation using interval arithmetic [PDF]
, 2012 Confidence bands are commonly obtained from linear regression, but they are rarely shown for nonlinear functions. In part this is due to mathematical complexity.
Pedley, Kevin C. +3 more
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, 2023 Post-imputation pooled coefficient estimates (95% confidence interval) for predictors in linear mixed models for repeated measures for continuous outcomes and rate ratios (95% confidence interval) for generalized estimating equations models for count ...
Faith Eiboff (14599818) +5 more
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The Bayesian confidence intervals for measuring the difference between dispersions of rainfall in Thailand [PDF]
PeerJ, 2020 The coefficient of variation is often used to illustrate the variability of precipitation. Moreover, the difference of two independent coefficients of variation can describe the dissimilarity of rainfall from two areas or times.
Noppadon Yosboonruang +2 more
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