Results 61 to 70 of about 73,585 (174)

DIY bootstrapping: Getting the nonparametric bootstrap confidence interval in SPSS for any statistics or function of statistics (when this bootstrapping is appropriate)

Behavior Research Methods, 2022
S. Cheung, I. J. Pesigan, Weng Ngai Vong
semanticscholar   +1 more source

Technical and environmental inefficiency measurement in agriculture using a flexible by‐production stochastic frontier model

Journal of Agricultural Economics, Volume 76, Issue 1, Page 164-181, February 2025.
Abstract In light of the urgent need for farms to mitigate greenhouse gas emissions while maintaining economic viability, this paper analyses technical and environmental inefficiencies and their determinants based on a flexible multi‐equation by‐production stochastic frontier model, which accounts for the stochastic dependence between good and bad ...
Ioannis Skevas
wiley   +1 more source

Universal Adaptive Estimations and Confidence Intervals in the Nonparametric Statistics [PDF]

arXiv, 2004
The paper considers so-called adaptive estimations of regression, distribution density and spectral density of a Gaussian stationary sequence, asymptotically optimal in order at a growing number of observation on any regular subspace compactly embedded in space $L_2$, and confidence intervals, also adaptive, are constructed on their basis for the ...
arxiv  

Alternative Confidence Interval Methods Used in the Diagnostic Accuracy Studies

Comput. Math. Methods Medicine, 2016
Background/Aim. It is necessary to decide whether the newly improved methods are better than the standard or reference test or not. To decide whether the new diagnostics test is better than the gold standard test/imperfect standard test, the differences ...
S. Erdoğan, Orekici Temel Gülhan
semanticscholar   +1 more source

Monitoring Poverty in a Data‐Deprived Environment: The Case of Lebanon

Review of Income and Wealth, Volume 71, Issue 1, February 2025.
Abstract This paper addresses the lack of data and limited statistical capacity in the Middle East and North Africa, particularly amid Lebanon's economic collapse. We apply a novel data augmentation technique to analyze poverty when traditional income data are limited or unavailable.
Paul Makdissi, Walid Marrouch, Myra Yazbeck   +2 more
wiley   +1 more source

High-Confident Nonparametric Fixed-Width Uncertainty Intervals and Applications to Projected High-Dimensional Data and Common Mean Estimation [PDF]

arXiv, 2019
Nonparametric two-stage procedures to construct fixed-width confidence intervals are studied to quantify uncertainty. It is shown that the validity of the random central limit theorem (RCLT) accompanied by a consistent and asymptotically unbiased estimator of the asymptotic variance already guarantees consistency and first as well as second order ...
arxiv  

A Robust Nonparametric Measure of Effect Size Based on an Analog of Cohen's d, Plus Inferences About the Median of the Typical Difference

Journal of Modern Applied Statistical Methods, 2019
The paper describes a nonparametric analog of Cohen's d, Q. It is established that a confidence interval for Q can be computed via a method for computing a confidence interval for the median of D = X1 − X2, which in turn is related to making inferences ...
R. Wilcox
semanticscholar   +1 more source

Robust analysis of second-leg home advantage in UEFA football through better nonparametric confidence intervals for binary regression functions [PDF]

arXiv, 2017
In international football (soccer), two-legged knockout ties, with each team playing at home in one leg and the final outcome decided on aggregate, are common. Many players, managers and followers seem to believe in the `second-leg home advantage', i.e. that it is beneficial to play at home on the second leg.
arxiv  

Optimal No-regret Learning in Repeated First-price Auctions

, 2020
We study online learning in repeated first-price auctions with censored feedback, where a bidder, only observing the winning bid at the end of each auction, learns to adaptively bid in order to maximize her cumulative payoff.
Han, Yanjun, Weissman, Tsachy, Zhou, Zhengyuan   +2 more
core  

Publication Bias in Meta-Analysis: Confidence Intervals for Rosenthal's Fail-Safe Number [PDF]

arXiv, 2015
The purpose of the present paper is to assess the efficacy of confidence intervals for Rosenthal's fail-safe number. Although Rosenthal's estimator is highly used by researchers, its statistical properties are largely unexplored. First of all, we developed statistical theory which allowed us to produce confidence intervals for Rosenthal's fail-safe ...
arxiv