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Items from 1 to 20 out of 110 results

article

Covariate‐adjusted generalized pairwise comparisons in small samples

Stijn Jaspers, Johan Verbeeck, Olivier Thas

Statistics in Medicine > 43 > 21 > 4027 - 4042

Semiparametric probabilistic index models allow for the comparison of two groups of observations, whilst adjusting for covariates, thereby fitting nicely within the framework of generalized pairwise comparisons (GPC). As with most regression approaches in this setting, the limited amount of data results in invalid inference as the asymptotic normality assumption is not met. In addition, separation...

article

Bayesian sample size planning for developmental studies

Ingmar Visser, Šimon Kucharský, Claartje Levelt, Angelika M. Stefan, more

Infant and Child Development > 33 > 1 > n/a - n/a

Running developmental experiments, particularly with infants, is often time‐consuming and intensive, and the recruitment of participants is hard and expensive. Thus, an important goal for developmental researchers is to optimize sampling plans such that neither too many nor too few participants are tested given the hypothesis of interest. One approach that enables such optimization is the use of...

article

The framework of parametric and nonparametric operational data analytics

Qi Feng, J. George Shanthikumar

Production and Operations Management > 32 > 9 > 2685 - 2703

This paper introduces the general philosophy of the Operational Data Analytics (ODA) framework for data‐based decision modeling. The fundamental development of this framework lies in establishing the direct mapping from data to decision by identifying the appropriate class of operational statistics. The efficient decision making relies on a careful balance between data integration and decision validation...

article

CAE‐WANN: A novel anomaly detection method for gas turbines via search space extension

Shisheng Zhong, Dan Liu, Lin Lin, Minghang Zhao, more

Quality and Reliability Engineering International > 38 > 6 > 3116 - 3134

Anomaly detection of gas turbines is a typical binary classification problem under small sample size. In essence, the goal of classification is to discover the mapping that can map samples in different categories to disjoint codomains. The neural network has strong nonlinear mapping ability thus it has great potentialities in classification tasks. However, how to design the architecture of the neural...

article

Taking population stratification into account by local permutations in rare‐variant association studies on small samples

Jimmy Mullaert, Matthieu Bouaziz, Yoann Seeleuthner, Benedetta Bigio, more

Genetic Epidemiology > 45 > 8 > 821 - 829

Many methods for rare variant association studies require permutations to assess the significance of tests. Standard permutations assume that all individuals are exchangeable and do not take population stratification (PS), a known confounding factor in genetic studies, into account. We propose a novel strategy, LocPerm, in which individual phenotypes are permuted only with their closest ancestry‐based...

article

A comparison of confidence distribution approaches for rare event meta‐analysis

Brinley N. Zabriskie, Chris Corcoran, Pralay Senchaudhuri

Statistics in Medicine > 40 > 24 > 5276 - 5297

Meta‐analysis of rare event data has recently received increasing attention due to the challenging issues rare events pose to traditional meta‐analytic methods. One specific way to combine information and analyze rare event meta‐analysis data utilizes confidence distributions (CDs). While several CD methods exist, no comparisons have been made to determine which method is best suited for homogeneous...

article

Bayesian inference for quantiles of the log‐normal distribution

Aldo Gardini, Carlo Trivisano, Enrico Fabrizi

Biometrical Journal > 62 > 8 > 1997 - 2012

The log‐normal distribution is very popular for modeling positive right‐skewed data and represents a common distributional assumption in many environmental applications. Here we consider the estimation of quantiles of this distribution from a Bayesian perspective. We show that the prior on the variance of the log of the variable is relevant for the properties of the posterior distribution of quantiles...

article

Robustness of asymptotic accelerated life test plans to small‐sample settings

Caleb King

Quality and Reliability Engineering International > 35 > 7 > 2178 - 2201

Much of the statistical literature on optimal test planning for accelerated life testing utilize asymptotic methods to derive optimal test plans. While sufficient effort is made to assess the robustness of these test plans to the choice of design parameters and distribution assumptions, there is very little literature on the performance of asymptotic test plans relative to small samples (on the order...

article

The mechanical properties at room and low temperature of P110 steel characterised by means of small punch test

Romelczyk-Baishya, B., Lumelskyj, D., Stępniewska, M., Giżyński, M., more

Archives of Metallurgy and Materials > 2019 > 64 > 1

article

Data‐reduction procedure for correction of geometric factors in the analysis of specular X‐ray reflectivity of small samples

Arijeet Das, Shreyashkar Dev Singh, R. J. Choudhari, S. K. Rai, more

Journal of Applied Crystallography > 51 > 5 > 1295 - 1303

For small samples, the modification of the X‐ray reflectivity (XRR) profile by the geometric factors due to the profile and size of the beam and the size of the sample is significant. These geometric factors extend the spill‐over angle, which is often greater than the critical angle for small samples. To separate the geometric factors, it is necessary to know the spill‐over angle. Since the geometric...

article

Conceptual design of CHESS, a new direct‐geometry inelastic neutron spectrometer dedicated to studying small samples

Gabriele Sala, Jiao Y. Y. Lin, Van B. Graves, Georg Ehlers

Journal of Applied Crystallography > 51 > 2 > 282 - 293

CHESS is a new direct‐geometry inelastic spectrometer, which is planned for the Second Target Station (STS) at the Spallation Neutron Source (SNS) in Oak Ridge. It will take full advantage of the increased peak brilliance of the high‐brightness STS coupled moderators and of recent advances in instrument design and technology to achieve unprecedented performance for inelastic scattering in the cold...

article

The time has come: Toward Bayesian SEM estimation in tourism research

A. George Assaf, Mike Tsionas, Haemoon Oh

Tourism Management > 2018 > 64 > C > 98-109

While the Bayesian SEM approach is now receiving a strong attention in the literature, tourism studies still heavily rely on the covariance-based approach for SEM estimation. In a recent special issue dedicated to the topic, Zyphur and Oswald (2013) used the term “Bayesian revolution” to describe the rapid growth of the Bayesian approach across multiple social science disciplines. The method introduces...

article

Practical considerations when analyzing discrete survival times using the grouped relative risk model

Rachel MacKay Altman, Andrew Henrey

Lifetime Data Analysis > 2018 > 24 > 3 > 532-547

The grouped relative risk model (GRRM) is a popular semi-parametric model for analyzing discrete survival time data. The maximum likelihood estimators (MLEs) of the regression coefficients in this model are often asymptotically efficient relative to those based on a more restrictive, parametric model. However, in settings with a small number of sampling units, the usual properties of the MLEs are...

article

A combined methodology for the concurrent evaluation of the business, financial and sports performance of football clubs: the case of France

Emilios Galariotis, Christophe Germain, Constantin Zopounidis

Annals of Operations Research > 2018 > 266 > 1-2 > 589-612

The recent transformation of football clubs to businesses and the challenges posed by this transformation motivate us to study the financial, business, and sports performance of French football clubs. We propose a two-stage method that can be applied to other settings, especially when there exist sample size and theoretical/model specification issues: first, Multicriteria Analysis is used to rank...

article

Estimation of random vibration signals with small samples using bootstrap maximum entropy method

Yanqing Wang, Weihu Zhou, Dengfeng Dong, Zhongyu Wang

Measurement > 2017 > 105 > C > 45-55

The precise estimation of random vibration signals (RVS) is the important guarantee for safety and stability in flight. But in testing phase, RVS with small samples are obtained under the condition of unknown probability distribution. The current estimation methods based on statistical theory could not be used to estimate this kind of small samples. In this paper, a novel bootstrap maximum entropy...

article

Alternating logistic regressions with improved finite sample properties

Jamie Perin, John S. Preisser

Biometrics > 73 > 2 > 696 - 705

Alternating logistic regressions is an estimating equations procedure used to model marginal means of correlated binary outcomes while simultaneously specifying a within‐cluster association model for log odds ratios of outcome pairs. A recent generalization of alternating logistic regressions, known as orthogonalized residuals, is extended to incorporate finite sample adjustments in the estimation...

article

Saddlepoint tests for accurate and robust inference on overdispersed count data

William H. Aeberhard, Eva Cantoni, Stephane Heritier

Computational Statistics & Data Analysis > 2017 > 107 > C > 162-175

Inference on regression coefficients when the response variable consists of overdispersed counts is traditionally based on Wald, score and likelihood ratio tests. As the accuracy of the p-values of such tests becomes questionable in small samples, three recently developed tests are adapted to the negative binomial regression model. The non-trivial computational aspects involved in their implementation,...

chapter

Evaluation methods of storage reliability for relay based subsystems under the conditions of small samples

Xuerong Ye, Yigang Lin, Rao Fu, Baoxu Dong, more

2017 Annual Reliability and Maintainability Symposium (RAMS) > 1 - 8

2017 Annual Reliability and Maintainability Symposium (RAMS)

Component performance degradation due to the effects of storage environmental conditions causes the degradation of system's performance. Thus, a new evaluation method is proposed in this paper to assess the storage reliability of relay based subsystems (RBSs) under the conditions of small samples. And a practical implementation of the method is carried out to manifest the effectiveness. In which,...

article

Flood frequency analysis using synthetic samples

Luis Orsini-Zegada, Carlos Escalante-Sandoval

Atmosfera > 2016 > 29 > 4 > 299-309

The design flow is the basis for planning and designing different hydraulic works. The precision in estimated flows is important when analyzing the feasibility of such structures because the value directly influences the evaluation of the failure effects. However, due to flow variability, the precision of the estimate is drastically reduced when small samples are used in a conventional flood frequency...

article

Scatter factor confidence interval estimate of least square maximum entropy quantile function for small samples

Fuxian Wu, Weidong Wen

Chinese Journal of Aeronautics > 2016 > 29 > 5 > 1285-1293

Classic maximum entropy quantile function method (CMEQFM) based on the probability weighted moments (PWMs) can accurately estimate the quantile function of random variable on small samples, but inaccurately on the very small samples. To overcome this weakness, least square maximum entropy quantile function method (LSMEQFM) and that with constraint condition (LSMEQFMCC) are proposed. To improve the...

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Search results

Covariate‐adjusted generalized pairwise comparisons in small samples

Bayesian sample size planning for developmental studies

The framework of parametric and nonparametric operational data analytics

CAE‐WANN: A novel anomaly detection method for gas turbines via search space extension

Taking population stratification into account by local permutations in rare‐variant association studies on small samples

A comparison of confidence distribution approaches for rare event meta‐analysis

Bayesian inference for quantiles of the log‐normal distribution

Robustness of asymptotic accelerated life test plans to small‐sample settings

The mechanical properties at room and low temperature of P110 steel characterised by means of small punch test

Data‐reduction procedure for correction of geometric factors in the analysis of specular X‐ray reflectivity of small samples

Conceptual design of CHESS, a new direct‐geometry inelastic neutron spectrometer dedicated to studying small samples

The time has come: Toward Bayesian SEM estimation in tourism research

Practical considerations when analyzing discrete survival times using the grouped relative risk model

A combined methodology for the concurrent evaluation of the business, financial and sports performance of football clubs: the case of France

Estimation of random vibration signals with small samples using bootstrap maximum entropy method

Alternating logistic regressions with improved finite sample properties

Saddlepoint tests for accurate and robust inference on overdispersed count data

Evaluation methods of storage reliability for relay based subsystems under the conditions of small samples

Flood frequency analysis using synthetic samples

Scatter factor confidence interval estimate of least square maximum entropy quantile function for small samples

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