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Multiple Comparisons for Exponential Median Lifetimes with the Control Based on Doubly Censored Samples

Shu-Fei Wu
2020 Mathematics  
Under doubly censoring, the one-stage multiple comparison procedures with the control in terms of exponential median lifetimes are presented.  ...  The upper bounds, lower bounds and two-sided confidence intervals for the difference between each median lifetimes and the median lifetime of the control population are developed.  ...  Based on the doubly censored sample, Wu [8] proposed multiple comparisons with the average for exponential location parameters under heteroscedasticity.  ... 
doi:10.3390/math9010076 fatcat:6qlqwr7ohzdmxielt6vkpo3ghu

A sequential distance-based approach for imputing missing data: Forward Imputation

Nadia Solaro, Alessandro Barbiero, Giancarlo Manzi, Pier Alda Ferrari
2016 Advances in Data Analysis and Classification  
A stochastic process is proposed, which is based on a comparison of the responses with a nonparametric quantile regression estimate under the null hypothesis.  ...  We show that under certain straightforward and interpretable conditions, the marginal posterior for the parameter of interest converges in total variation to a negative exponential distribution, with parameters  ... 
doi:10.1007/s11634-016-0243-0 fatcat:yvrqlgllsbesbnvnzzci2egpl4

On the Use of L-functionals in Regression Models [article]

Ola Hössjer, Måns Karlsson
2022 arXiv   pre-print
This includes robust measures of location, scale, skewness, and heavytailedness of the response, conditionally on covariates.  ...  In particular, we motivate why location, scale, skewness, and heavytailedness have order numbers 1, 2, (3,2), and (4,2) respectively and describe how a family of L-functionals, with different order numbers  ...  For each 0 < p < 1, let Q(p | x) be an estimator of the conditional quantile (82), based on a sample of size n.  ... 
arXiv:2204.13552v1 fatcat:f4nw4cilzbbnndckpjepowkwfy

Vol. 12, No. 2 (Full Issue)

2013 Journal of Modern Applied Statistical Methods  
Normality is a distributional requirement of classical test statistics.  ...  In the not too distant past, it was claimed that violations of normality would not likely jeopardize scientific findings (  ...  Acknowledgements Part of this paper is based on the result obtained in the Master degree thesis of the second author (QH) (Hui, 2011) , which was written under the supervision of the first author (TL)  ... 
doi:10.22237/jmasm/1383280140 fatcat:d3jjp2bn2zdbfh5klhp6miklqa

Vol. 6, No. 2 (Full Issue)

2007 Journal of Modern Applied Statistical Methods  
Five data sets with known true values are used to determine the optimal number of pairs that should be trimmed in order to produce the minimum relative error.  ...  Results of four data sets are used to establish cutoff values for outlier detection in two robust methods of outlier detection.  ...  Moye for helpful comments in a previous version of this manuscript. I also wish to thank Maria L. Fernandez and Gloria L. Sanchez, for data management and macros programming.  ... 
doi:10.22237/jmasm/1193891520 fatcat:7pu36m2b6zaohnrycwzo3jq35q

The Statistical Analysis of Discrete‐Response CV Data [chapter]

Michael Hanemann, Barbara Kanninen
2001 Valuing Environmental Preferences  
, with one location parameter and one scale parameter. 46 Adding more location or scale parameters can give greater flexibility, which allows a more sensitive modelling of the data, especially in the  ...  If ε 1 and ε 0 are independent extreme value variates with separate location parameters ζ 1 and ζ 0 and common scale parameter τ, η = ε 1 -ε 0 has a logistic distribution with location parameter µ = ζ  ... 
doi:10.1093/0199248915.003.0011 fatcat:j4tndi2ijjffvpfn2gb4b4ao74

Bayesian binary quantile regression for the analysis of Bachelor-to-Master transition

Cristina Mollica, Lea Petrella
2016 Journal of Applied Statistics  
The working group (WG) CMStatistics comprises a number of specialized teams in various research areas of computational and methodological statistics.  ...  Specialized teams Currently the ERCIM WG has over 1150 members and the following specialized teams BM: Bayesian Methodology CODA: Complex data structures and Object Data Analysis CPEP: Component-based  ...  of toxicity under control.  ... 
doi:10.1080/02664763.2016.1263835 fatcat:l5eyielgxrct7hq5ljqeej5ccy

Bayesian Additive Regression Trees: A Review and Look Forward

Jennifer Hill, Antonio Linero, Jared Murray
2019 Annual Review of Statistics and Its Application  
Bayesian additive regression trees (BART) provides a flexible approach to fitting a variety of regression models while avoiding strong parametric assumptions.  ...  This article presents the basic approach and discusses further development of the original algorithm that support a variety of data structures and assumptions.  ...  described in Section 6.7 that were developed based on lessons learned from the 2016 Causal Inference Challenge (doubly robust strategies, TMLE, multiple chains). bartCause now implements the causal forest  ... 
doi:10.1146/annurev-statistics-031219-041110 fatcat:3xtoqz72tzalbb5jifq3o2kpje

On Fitting Finite Dirichlet Mixture Using ECM and MML [chapter]

Nizar Bouguila, Djemel Ziou
2005 Lecture Notes in Computer Science  
We study a fluid system with single on/off source in which the active (on) and silent periods (off) follow General and Exponential distributions respectively.  ...  Some of the known results are deduced from the results obtained. Numerical results are illustrated for the models under consideration. 2 Pair-copula constructions of multiple dependence.  ...  The proposed testing procedure is based on a comparison of two empirical processes of the standardized nonparametric residuals calculated under the hypothesis of a multiplicative structure and the alternative  ... 
doi:10.1007/11551188_19 fatcat:gtzi5u6emvfyxea3zbklobnvom

Vol. 3, No. 2 (Full Issue)

2004 Journal of Modern Applied Statistical Methods  
Articles based on Monte Carlo (and other computer-intensive) methods designed to evaluate new or existing techniques or practices, particularly as they relate to novel applications of modern methods to  ...  Three areas are appropriate for JMASM: (1) development or study of new statistical tests or procedures, or the comparison of existing statistical tests or procedures, using computerintensive Monte Carlo  ...  routines could be a handy addition to a practitioner's set of tools given the growing interest in R.  ... 
doi:10.22237/jmasm/1099267200 fatcat:qnwt3jqxh5cx5bzccudf7fmvyi

Semiparametric regression during 2003–2007

David Ruppert, M.P. Wand, Raymond J. Carroll
2009 Electronic Journal of Statistics  
We find semiparametric regression to be a vibrant field with substantial involvement and activity, continual enhancement and widespread application.  ...  more streamlined handling of longitudinal and spatial correlation.  ...  The approximation bias is controlled by K, and under small-K asymptotics K is a smoothing parameter.  ... 
doi:10.1214/09-ejs525 pmid:20305800 pmcid:PMC2841361 fatcat:37rhsccmvzeh3kiyuopffbw43q

Vol. 2, No. 2 (Full Issue)

2003 Journal of Modern Applied Statistical Methods  
DataMineIt SM is a technical consultancy providing statistical data mining, econometric analysis, and data warehousing services and expertise to the industry, consulting, and research sectors.  ...  Consider the relatively simple example of multiple comparisons among a set of, say, five sample means.  ...  Beg (1980) obtained the (MVUE) of R when X and Y are independent exponential random variables with unequal scale and unequal location parameters.  ... 
doi:10.22237/jmasm/1067644800 fatcat:xxrm57bnqve6vcwrbjcnrufonq

Applying nomograms based on the surveillance, epidemiology and end results database to predict long-term overall survival and cancer-specific survival in patients with oropharyngeal squamous cell carcinomas

Fengze Wang, Jiao Wen, Xinjie Yang, Tingting Jia, Fangchong Du, Jianhua Wei
2020 Medicine  
Based on a retrospective cohort from the SEER database, we succeeded in constructing 2 nomograms to predict long-term OS and CSS for OPSCC patients, which provides reference for surgeons to develop a treatment  ...  Furthermore, we applied a popular and reasonable random split-sample method to divide the total 10,980 patients into 2 groups, including 9881 (90%) patients in the modeling cohort and 1099 (10%) patients  ...  This is useful for comparing multiple treatments with control, for example.  ... 
doi:10.1097/md.0000000000020703 pmid:32791664 pmcid:PMC7386992 fatcat:6vaqxcx7gjflvp6ffarqh4rnxu

a need to know

William A. Spencer, Larry R. Gettman, H. H. Bridge, Allan J. Ryan
1983 Physician and sportsmedicine  
A Note on Multiple Imputation Under Informative Sampling-Jae-kwang Kim, Iowa State University; FShu Yang, Harvard 11:00 a.m.  ...  Allen 22 A Double EWMA Control Chart for Individual Measurements Based on a Linear Prediction-FRafael Perez Abreu; Jay R.  ...  Professional Development This year marks the centennial of Statistics of Income (SOI), a principal Federal statistical agency responsible for the statistical policies and programs of the U.S.  ... 
doi:10.1080/00913847.1983.11708423 pmid:27409254 fatcat:7rlbreoerngb3epmighz7l5vr4

Modeling Ordered Choices: A Primer and Recent Developments

William H. Greene, David A. Hensher
2008 Social Science Research Network  
Finally, we propose a new form of the model that accommodates in a natural, internally consistent form, functional form flexibility and individual heterogeneity. Much of this study is pedagogical.  ...  The historical development of the model is presented as well. We detail a number of generalizations that have appeared in the recent literature.  ...  The model now has for each i, a location parameter a i and a spread parameter b i . To impose homoscedasticity on the data, they assume b i = 1.  ... 
doi:10.2139/ssrn.1213093 fatcat:4reaxu6qkzhmtkwagaiwhqvvhm
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