Results 1 to 10 of about 8,348 (152)

A unifying framework for rank and pseudo-rank based inference using nonparametric confidence distributions

open access: yesStatistical Papers, 2023
Nonparametric confidence distributions estimate statistical functionals by a distribution function on the parameter space, instead of the classical point or interval estimators.
Jonas Beck, A. Bathke
semanticscholar   +1 more source

Confidence interval of parameters in multiresponse multipredictor semiparametric regression model for longitudinal data based on truncated spline estimator

open access: yesCommunications in Mathematical Biology and Neuroscience, 2022
In this paper, we provide a theoretical discussion on estimating confidence interval of parameters in a multiresponse multipredictor semiparametric regression (MMSR) model for longitudinal data.
M. Setyawati, N. Chamidah, A. Kurniawan
semanticscholar   +1 more source

A new accuracy metric under three classes when subclasses are involved and its confidence interval estimation

open access: yesStatistics in Medicine, 2023
“Compound multi‐class classification” refers to the setting where three or more main classes are involved and at least one of the main classes have multiple subclasses.
Nan Nan, Lili Tian
semanticscholar   +1 more source

Nonparametric Bootstrap Confidence Intervals for the Population Mean of a Zero-Truncated Poisson-Lindley Distribution and Their Application

open access: yesJOURNAL OF CURRENT SCIENCE AND TECHNOLOGY, 2023
Recently, the zero-truncated Poisson-Lindley distribution has been proposed for studying count data containing non-zero values. However, the nonparametric bootstrap confidence interval estimation of the population mean has not yet been studied.
Wannaphon Suriyakat   +1 more
semanticscholar   +1 more source

Nonparametric bootstrap methods for interval estimation of the area under the ROC curve with correlated diagnostic test data: application to whole-virus ELISA testing in swine

open access: yesFrontiers in Veterinary Science, 2023
Developing and evaluating novel diagnostic assays are crucial components of contemporary diagnostic research. The receiver operating characteristic (ROC) curve and the area under the ROC curve (AUC) are frequently used to evaluate diagnostic assays ...
Jinji Pang   +6 more
semanticscholar   +1 more source

Parametric and nonparametric methods for confidence intervals and sample size planning for win probability in parallel‐group randomized trials with Likert item and Likert scale data

open access: yesPharmaceutical statistics, 2022
Data on the Likert scale are ubiquitous in medical research, including randomized trials. Statistical analysis of such data may be conducted using the means of raw scores or the rank information of the scores.
G. Zou, Lily Zou, Shi-Fang Qiu
semanticscholar   +1 more source

Confidence interval of the parameter on multipredictor biresponse longitudinal data analysis using local linear estimator for modeling of case increase and case fatality rates COVID-19 in Indonesia: A theoretical discussion

open access: yesCommunications in Mathematical Biology and Neuroscience, 2022
In this paper, we describe a theoretical discussion about confidence intervals for longitudinal data based on local linear estimator. The confidence interval represents the range of possible values in the estimating process.
Chamidah N. Nidhomuddin, A. Kurniawan
semanticscholar   +1 more source

The use of fractional order statistics for estimating nonparametric confidence intervals for quantiles of the fatigue damage computed in service random loadings

open access: yesIOP Conference Series: Materials Science and Engineering, 2023
This paper deals with the statistical variability of fatigue damage in random loadings as caused by the inherent randomness of the loading. It examines the use of a nonparametric method based on fractional order statistics as a tool for constructing ...
D. Benasciutti, J. Marques
semanticscholar   +1 more source

Greenhouse Gas Emission Reduction Potentials in Europe by Sector: A Bootstrap-Based Nonparametric Efficiency Analysis

open access: yesEnvironmental and Resource Economics, 2022
The reduction of greenhouse gas emissions is the key action to limit global warming. An important source of greenhouse gas emissions and pollution is the inefficiency of production processes.
J. Krüger, Moritz Tarach
semanticscholar   +1 more source

Estimation of reference intervals from small samples: an example using canine plasma creatinine [PDF]

open access: yes, 2009
Background: According to international recommendations, reference intervals should be determined from at least 120 reference individuals, which often are impossible to achieve in veterinary clinical pathology, especially for wild animals.
Braun, Jean-Pierre   +3 more
core   +1 more source

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