Search · four archives
Search · four archives
12 papers · ranked by Valyu relevance
Ke Yang, Jiandong Shi, Jianxin Pan, Jiming Liu + 2 more
Meta-analysis with continuous outcomes presents a range of methodological challenges. Among these, two issues have received increasing attention: (i) integrating studies that report only the five-number summary (such as the median, interquartile range, and range) rather than the sample mean and standard deviation (SD)…
Weifeng Liu, Ying Jiang, Yuesheng Xu, Karsten Keller
Sample entropy, an approximation of the Kolmogorov entropy, was proposed to characterize complexity of a time series, which is essentially defined as $(-log(B/A))$, where B denotes the number of matched template pairs with length m and A denotes the number of matched template pairs with $(m+1)$, for a predetermined…
Molly E. Contini, Jeffrey R. Spence, David J. Stanley
Title: Graphical abstract
Manussaya La-ongkaew, Sa-Aat Niwitpong, Suparat Niwitpong, Alban Kuriqi
'Alban Kuriqi'] The Weibull distribution has been used to analyze data from many fields, including engineering, survival and lifetime analysis, and weather forecasting, particularly wind speed data. It is useful to measure the central tendency of wind speed data in specific locations using statistical parameters for…
Tiffany N. Kolba, Alexander Bruno, Eugene Demidenko
We examine the accuracy and precision of parameter estimates for both the exponential and normal distributions when using only a collection of sample extremes. That is, we consider a collection of random variables, where each of the random variables is either the minimum or maximum of a sample of n*j independent…
Ben O’Neill, Zhongxue Chen
We analyse standard confidence intervals for the mean of a finite population, with a view to sample size determination. We first consider a standard method for sample size determination based on the assumption of knowledge of the population variance parameter. We then consider the more realistic case where the…
Philippe Aubry
Title: Graphical abstract
Nan Xiang, Qilin Wang, Mingwei You
Betweenness centrality is one of the key measures of the node importance in a network. However, it is computationally intractable to calculate the exact betweenness centrality of nodes in large-scale networks. To solve this problem, we present an efficient CBCA (Centroids based Betweenness Centrality Approximation)…
Alexis Habineza, Romanus Odhiambo Otieno, George Otieno Orwa, Nicholas Makumi + 1 more
'Nicholas Makumi' 'Saeed Mian Qaisar'] The primary focus of all sample surveys is on providing point estimates for the parameters of primary interest, and also estimating the variance associated with those point estimates to quantify the uncertainty. Larger samples and important measurement tools can help to reduce the…
Haiyan Zheng, Thomas Jaki, James M.S. Wason
This paper develops Bayesian sample size formulae for experiments comparing two groups, where relevant preexperimental information from multiple sources can be incorporated in a robust prior to support both the design and analysis. We use commensurate predictive priors for borrowing of information and further place…
Linke Li, Hawre Jalal, Anna Heath
[Download Media](sj-pdf-3-mdm-10.1177_0272989X251324936.pdf) Supplemental material, sj-pdf-3-mdm-10.1177_0272989X251324936 for A Nonparametric Approach for Estimating the Effective Sample Size in Gaussian Approximation of Expected Value of Sample Information by Linke Li, Hawre Jalal and Anna Heath in Medical Decision…
Kseniia Marcq, Björn Andersson
In standardized testing, equating is used to ensure comparability of test scores across multiple test administrations. One equipercentile observed-score equating method is kernel equating, where an essential step is to obtain continuous approximations to the discrete score distributions by applying a kernel with a…