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Advanced Search Results For "STATISTICAL bootstrapping"

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 "STATISTICAL bootstrapping"
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Tehran's house price ripple effects in Iran: application of bootstrap asymmetric panel granger non-causality in the frequency domain.

Publication Type: Academic Journal

Source(s): Housing Studies. Oct2022, Vol. 37 Issue 9, p1566-1597. 32p. 6 Charts, 4 Graphs.

Abstract: The purpose of this study is to examine the ripple effects from Tehran, the capital city of Iran, to other major Iranian cities by applying a new methodological approach: a bootstrap asymmetric panel Granger non-causality in the frequency domain and a ...

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Testing for Asymmetric Comovements*.

Publication Type: Academic Journal

Source(s): Oxford Bulletin of Economics & Statistics. Oct2022, Vol. 84 Issue 5, p1153-1180. 28p. 7 Charts.

Abstract: This paper aims to provide non‐parametric tests for asymmetric comovements between random variables. We consider the popular Cramér‐von Mises and Kolmogorov–Smirnov test statistics based on the distance between positive and negative joint conditional e...

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Every coin has two sides: the impact of time pressure on employees' knowledge hiding.

Publication Type: Academic Journal

Source(s): Journal of Knowledge Management. 2022, Vol. 26 Issue 8, p2084-2106. 23p.

Abstract: Purpose: Time pressure is the most common kind of work pressure that employees face in the workplace; the existing research results on the effect of time pressure are highly controversial (positive, negative, inverted U-shaped). Especially in the era o...

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Improved confidence intervals based on ranked set sampling designs within a parametric bootstrap approach.

Publication Type: Academic Journal

Source(s): Computational Statistics. Nov2022, Vol. 37 Issue 5, p2267-2293. 27p.

Abstract: We study the problem of obtaining confidence intervals (CIs) within a parametric framework under different ranked set sampling (RSS) designs. This is an important research issue since it has not yet been adequately addressed in the RSS literature. We f...

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Bootstrap robust prescriptive analytics.

Publication Type: Academic Journal

Source(s): Mathematical Programming. Sep2022, Vol. 195 Issue 1/2, p39-78. 40p.

Abstract: We address the problem of prescribing an optimal decision in a framework where the cost function depends on uncertain problem parameters that need to be learned from data. Earlier work proposed prescriptive formulations based on supervised machine lear...

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The prediction intervals of remaining useful life based on constant stress accelerated life test data.

Publication Type: Academic Journal

Source(s): European Journal of Operational Research. Sep2022, Vol. 301 Issue 2, p747-755. 9p.

Abstract: • Consider the existence of maximum likelihood estimates of the exponential model. • Yield prediction intervals of remaining useful life at normal operating conditions. • Simulation and two real examples are used to demonstrate the effectiveness. In pr...

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Content-adjusted tolerance intervals via bootstrap calibration.

Publication Type: Academic Journal

Source(s): Stat. Dec2022, Vol. 11 Issue 1, p1-12. 12p.

Abstract: Tolerance intervals (TIs) are commonly employed in numerous industries, ranging from engineering to pharmaceuticals. However, closed-form TIs are unavailable for most distributions. Although some approximate methods can be used to obtain TIs, coverage ...

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Probabilistic Pairwise Model Comparisons Based on Bootstrap Estimators of the Kullback–Leibler Discrepancy.

Publication Type: Academic Journal

Source(s): Entropy. Oct2022, Vol. 24 Issue 10, p1483-N.PAG. 18p.

Abstract: When choosing between two candidate models, classical hypothesis testing presents two main limitations: first, the models being tested have to be nested, and second, one of the candidate models must subsume the structure of the true data-generating mod...

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Bootstrap aggregated classification for sparse functional data.

Publication Type: Academic Journal

Source(s): Journal of Applied Statistics. Jun2022, Vol. 49 Issue 8, p2052-2063. 12p. 7 Charts, 3 Graphs.

Abstract: Sparse functional data are commonly observed in real-data analyzes. For such data, we propose a new classification method based on functional principal component analysis (FPCA) and bootstrap aggregating. Bootstrap aggregating is believed to improve th...

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TECHNICAL EFFICIENCY OF THE INDONESIAN TEXTILE AND TEXTILE PRODUCT INDUSTRY.

Publication Type: Academic Journal

Source(s): Journal of Developing Economies (JDE). Jun2022, Vol. 7 Issue 1, p1-14. 14p.

Abstract: This study investigates the determinants of the Indonesian textile and textile product (TPT) industry's technical efficiency. Employing the rich balanced panel data of 3,365 firms over 2007-2013 with a non-parametric approach to the Data Envelopment An...

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