1 10 16 https://repository.horizon.ac.id/files/original/4d49f3d3e4fd55679527d54d2d4eb686.pdf 1febdfc95df22b51bd2227d93a070fb7 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOLUME 95 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v095 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Data Envelopment Analysis Toolbox for MATLAB Subject The topic of the resource data envelopment analysis, distance functions, technical efficiency, MATLAB Description An account of the resource The Data Envelopment Analysis Toolbox is a new package for MATLAB that includes functions to calculate the main data envelopment analysis models. The package includes code for the standard radial input, output and additive measures, allowing for constant and variable returns to scale, as well as recent developments related to the directional distance function, and including both desirable and undesirable outputs when measuring efficiency and productivity; i.e., Malmquist and Malmquist-Luenberger indices. Bootstrapping to perform statistical analysis is also included. This paper describes the methodology and implementation of the functions, and reports numerical results using a reliable productivity database on US agriculture to illustrate their use Creator An entity primarily responsible for making the resource José L. Zofío Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v095i03 Publisher An entity responsible for making the resource available Universidad Autónoma de Madrid Erasmus Research Institute of Management Erasmus University Rotterdam Date A point or period of time associated with an event in the lifecycle of the resource October 2020 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/f12a9802c78e26ccd81d85bcb6f77768.pdf 21b33f3fdf54297f6f9da1b6e87e355e Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOLUME 95 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v095 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource acebayes: An R Package for Bayesian Optimal Design of Experiments via Approximate Coordinate Exchange Subject The topic of the resource A-optimality, computer experiments, D-optimality, decision-theoretic design, Gaussian process regression, generalized linear models, high-dimensional design, model selection, nonlinear models, prediction, pseudo-Bayesian design Description An account of the resource We describe the R package acebayes and demonstrate its use to find Bayesian optimal experimental designs. A decision-theoretic approach is adopted, with the optimal design maximizing an expected utility. Finding Bayesian optimal designs for realistic problems is challenging, as the expected utility is typically intractable and the design space may be high-dimensional. The package implements the approximate coordinate exchange algorithm to optimize (an approximation to) the expected utility via a sequence of conditional one-dimensional optimization steps. At each step, a Gaussian process regression model is used to approximate, and subsequently optimize, the expected utility as the function of a single design coordinate (the value taken by one controllable variable for one run of the experiment). In addition to functions for bespoke design problems with user-defined utility functions, acebayes provides functions tailored to finding designs for common generalized linear and nonlinear models. The package provides a step-change in the complexity of problems that can be addressed, enabling designs to be found for much larger numbers of variables and runs than previously possible. We provide tutorials on the application of the methodology for four illustrative examples of varying complexity where designs are found for the goals of parameter estimation, model selection and prediction. These examples demonstrate previously unseen functionality of acebayes Creator An entity primarily responsible for making the resource Antony M. Overstall Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v095i13 Publisher An entity responsible for making the resource available University of Southampton Date A point or period of time associated with an event in the lifecycle of the resource October 2020 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/8415547236830def64baad1e953bf983.pdf c31bebcd103f13a735d129001fffb8c5 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOLUME 95 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v095 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource ANOVA_robust: A SAS Macro for Parametric Tests of Mean Differences in One-Factor ANOVA Models Subject The topic of the resource analysis of variance, homogeneity of variance assumption, simulation study, homoscedasticity, heteroscedasticity, SAS macro. Description An account of the resource Testing the equality of several independent group means is a common statistical practice in the social sciences. The traditional analysis of variance (ANOVA) is one of the most popular methods. However, the ANOVA F test is sensitive to violations of the homogeneity of variance assumption. Many alternative tests have been developed in response to this problem of the F test. These tests include some modifications of the ANOVA F test and others based on the structured means modeling technique. This paper provides a SAS macro for testing the equality of group means using thirteen methods including the regular ANOVA F test. In addition, this paper summarizes the results of a simulation study that compares the performance of these tests in terms of their Type I error rate under different conditions, especially under violations of the homogeneity of variance assumption Creator An entity primarily responsible for making the resource Eun Sook Kim Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v095c02 Publisher An entity responsible for making the resource available University of South Florida Date A point or period of time associated with an event in the lifecycle of the resource October 2020 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/b5d0e17abf30e0fa7c9586ecf4651170.pdf 4f931994a73be2cbe2baad8b708674ec Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOLUME 95 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v095 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Computationally Efficient Simulation of Queues: The R Package queuecomputer Subject The topic of the resource queues, queueing theory, discrete event simulation, operations research, approximate Bayesian computation, R Description An account of the resource Large networks of queueing systems model important real-world systems such as MapReduce clusters, web-servers, hospitals, call centers and airport passenger terminals. To model such systems accurately, we must infer queueing parameters from data. Unfortunately, for many queueing networks there is no clear way to proceed with parameter inference from data. Approximate Bayesian computation could offer a straightforward way to infer parameters for such networks if we could simulate data quickly enough. We present a computationally efficient method for simulating from a very general set of queueing networks with the R package queuecomputer. Remarkable speedups of more than 2 orders of magnitude are observed relative to the popular DES packages simmer and simpy. We replicate output from these packages to validate the package. The package is modular and integrates well with the popular R package dplyr. Complex queueing networks with tandem, parallel and fork/join topologies can easily be built with these two packages together. We show how to use this package with two examples: a call center and an airport terminal. Creator An entity primarily responsible for making the resource Anthony Ebert Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v095i05 Publisher An entity responsible for making the resource available Queensland University of Technology ACEMS Date A point or period of time associated with an event in the lifecycle of the resource October 2020 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/d7856db2c1a51d7411f7281385f43d58.pdf 016dc2def49e7b84e816b7a549fb3863 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOLUME 95 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v095 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Computing the Kolmogorov-Smirnov Distribution When the Underlying CDF is Purely Discrete, Mixed, or Continuous Subject The topic of the resource Kolmogorov-Smirnov test statistic, discontinuous (discrete or mixed) distribution, fast Fourier transform, double boundary non-crossing, rectangle probability for uniform order statistics Description An account of the resource The distribution of the Kolmogorov-Smirnov (KS) test statistic has been widely studied under the assumption that the underlying theoretical cumulative distribution function (CDF), F(x), is continuous. However, there are many real-life applications in which fitting discrete or mixed distributions is required. Nevertheless, due to inherent difficulties, the distribution of the KS statistic when F(x) has jump discontinuities has been studied to a much lesser extent and no exact and efficient computational methods have been proposed in the literature. In this paper, we provide a fast and accurate method to compute the (complementary) CDF of the KS statistic when F(x) is discontinuous, and thus obtain exact p values of the KS test. Our approach is to express the complementary CDF through the rectangle probability for uniform order statistics, and to compute it using fast Fourier transform (FFT). Secondly, we provide a C++ and an R implementation of the proposed method, which fills the existing gap in statistical software. We give also a useful extension of the Schmid’s asymptotic formula for the distribution of the KS statistic, relaxing his requirement for F(x) to be increasing between jumps and thus allowing for any general mixed or purely discrete F(x). The numerical performance of the proposed FFT-based method, implemented both in C++ and in the R package KSgeneral, available from https://CRAN.R-project.org/package=KSgeneral, is illustrated when F(x) is mixed, purely discrete, and continuous. The performance of the general asymptotic formula is also studied Creator An entity primarily responsible for making the resource Dimitrina S. Dimitrova Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v095i10 Publisher An entity responsible for making the resource available City, University of London Date A point or period of time associated with an event in the lifecycle of the resource October 2020 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/c33ea0ae38d2e3dd2db8653b01c76788.pdf a6286675b6924e71e466d7901a055cec Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOLUME 95 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v095 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Estimating Animal Abundance with N-Mixture Models Using the R-INLA Package for R Subject The topic of the resource : abundance, detection, JAGS, N-mixture model, R, R-INLA, unmarked, wildlife Description An account of the resource Successful management of wildlife populations requires accurate estimates of abundance. Abundance estimates can be confounded by imperfect detection during wildlife surveys. N-mixture models enable quantification of detection probability and, under appropriate conditions, produce abundance estimates that are less biased. Here, we demonstrate how to use the R-INLA package for R to analyze N-mixture models, and compare performance of R-INLA to two other common approaches: JAGS (via the runjags package for R), which uses Markov chain Monte Carlo and allows Bayesian inference, and the unmarked package for R, which uses maximum likelihood and allows frequentist inference. We show that R-INLA is an attractive option for analyzing N-mixture models when (i) fast computing times are necessary (R-INLA is 10 times faster than unmarked and 500 times faster than JAGS), (ii) familiar model syntax and data format (relative to other R packages) is desired, (iii) survey-level covariates of detection are not essential, and (iv) Bayesian inference is preferred Creator An entity primarily responsible for making the resource Timothy D. Meehan Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v095i02 Publisher An entity responsible for making the resource available National Audubon Society Date A point or period of time associated with an event in the lifecycle of the resource October 2020 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/9cea43d79eda6f901a953fd68d051425.pdf 7eb4f3119b0ce13ed9f482859aa1331d Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOLUME 95 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v095 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Estimation of Random Utility Models in R: The mlogit Package Subject The topic of the resource discrete choice models, maximum likelihood estimation, R, econometrics. Description An account of the resource mlogit is a package for R which enables the estimation of random utility models with choice situation and/or alternative specific variables. The main extensions of the basic multinomial model (heteroscedastic, nested and random parameter models) are implemented. Creator An entity primarily responsible for making the resource Yves Croissant Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v095i11 Publisher An entity responsible for making the resource available CEMOI – Université de la Réunion Date A point or period of time associated with an event in the lifecycle of the resource October 2020 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/362bad12aa40923fe95cb25e438183a7.pdf 3e9f83102196a0139b1cdfd3bfb96fa1 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOLUME 95 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v095 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text Still Image A static visual representation. Examples include paintings, drawings, graphic designs, plans and maps. Recommended best practice is to assign the type Text to images of textual materials. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Gene-Based Methods to Detect Gene-Gene Interaction in R: The GeneGeneInteR Package Subject The topic of the resource association studies, gene-gene interaction, dependence, single nucleotide polymophism Description An account of the resource GeneGeneInteR is an R package dedicated to the detection of an association between a case-control phenotype and the interaction between two sets of biallelic markers (single nucleotide polymorphisms or SNPs) in case-control genome-wide associations studies. The development of statistical procedures for searching gene-gene interaction at the SNP-set level has indeed recently grown in popularity as these methods confer advantage in both statistical power and biological interpretation. However, all these methods have been implemented in home made softwares that are for most of them available only on request to the authors and at best have a web interface. Since the implementation of these methods is not straightforward, there is a need for a user-friendly tool to perform gene-based genegene interaction. The purpose of GeneGeneInteR is to propose a collection of tools for all the steps involved in gene-based gene-gene interaction testing in case-control association studies. Illustrated by an example of a dataset related to rheumatoid arthritis, this paper details the implementation of the functions available in GeneGeneInteR to perform an analysis of a collection of SNP sets. Such an analysis aims at addressing the complete statistical pipeline going from data importation to the visualization of the results through data manipulation and statistical analysis Creator An entity primarily responsible for making the resource Mathieu Emily Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v095i12 Publisher An entity responsible for making the resource available Agrocampus Ouest IRMAR UMR 6625 Date A point or period of time associated with an event in the lifecycle of the resource October 2020 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/48309968289ad25a131d47616d1288a1.pdf f034654b185deaa45817e8a406e36d62 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOLUME 95 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v095 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text Still Image A static visual representation. Examples include paintings, drawings, graphic designs, plans and maps. Recommended best practice is to assign the type Text to images of textual materials. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource MultiBUGS: A Parallel Implementation of the BUGS Modeling Framework for Faster Bayesian Inference Subject The topic of the resource BUGS, parallel computing, Markov chain Monte Carlo, Gibbs sampling, Bayesian analysis, hierarchical models, directed acyclic graph. Description An account of the resource MultiBUGS is a new version of the general-purpose Bayesian modeling software BUGS that implements a generic algorithm for parallelizing Markov chain Monte Carlo (MCMC) algorithms to speed up posterior inference of Bayesian models. The algorithm parallelizes evaluation of the product-form likelihoods formed when a parameter has many children in the directed acyclic graph (DAG) representation; and parallelizes sampling of conditionally-independent sets of parameters. A heuristic algorithm is used to decide which approach to use for each parameter and to apportion computation across computational cores. This enables MultiBUGS to automatically parallelize the broad range of statistical models that can be fitted using BUGS-language software, making the dramatic speed-ups of modern multi-core computing accessible to applied statisticians, without requiring any experience of parallel programming. We demonstrate the use of MultiBUGS on simulated data designed to mimic a hierarchical e-health linked-data study of methadone prescriptions including 425,112 observations and 20,426 random effects. Posterior inference for the e-health model takes several hours in existing software, but MultiBUGS can perform inference in only 28 minutes using 48 computational cores. Creator An entity primarily responsible for making the resource Robert J. B. Goudie Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v095i07 Publisher An entity responsible for making the resource available University of Cambridge Date A point or period of time associated with an event in the lifecycle of the resource October 2020 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/09b4cc774fc89e4330454faffc742bbe.pdf 91b6e4ad72e5ad8faf797308ba93be7e Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOLUME 95 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v095 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Patch-Wise Adaptive Weights Smoothing in R Subject The topic of the resource image denoising, patch-wise structural adaptive smoothing, total variation, nonlocal means, R. Description An account of the resource Image reconstruction from noisy data has a long history of methodological development and is based on a variety of ideas. In this paper we introduce a new method called patchwise adaptive smoothing, that extends the propagation-separation approach by using comparisons of local patches of image intensities to define local adaptive weighting schemes for an improved balance of reduced variability and bias in the reconstruction result. We present the implementation of the new method in an R package aws and demonstrate its properties on a number of examples in comparison with other state-of-the art image reconstruction methods Creator An entity primarily responsible for making the resource Jörg Polzehl Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v095i06 Publisher An entity responsible for making the resource available Weierstrass Institute Date A point or period of time associated with an event in the lifecycle of the resource October 2020 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Indonesia Type The nature or genre of the resource Text