Some counterexamples of a skew-normal distribution

( Jun Zhao ) , ( Sang Kyu Lee ) , ( Hyoung-moon Kim )  한국통계학회, CSAM(Communications for Statistical Applications and Methods) [2019] 제26권 제6호, 583~589페이지(총7페이지)

TAG skew-normal, bivariate distribution, independence, quadratic form

Introduction to convolutional neural network using Keras; an understanding from a statistician

( Hagyeong Lee ) , ( Jongwoo Song )  한국통계학회, CSAM(Communications for Statistical Applications and Methods) [2019] 제26권 제6호, 591~610페이지(총20페이지)

TAG deep neural network, convolutional neural network, image classification, machine learning, MNIST, CIFAR10, Keras

Estimation of long memory parameter in nonparametric regression

( Yeoyoung Cho ) , ( Changryong Baek )  한국통계학회, CSAM(Communications for Statistical Applications and Methods) [2019] 제26권 제6호, 611~622페이지(총12페이지)

TAG nonparametric regression, kernel bandwidth selection, long memory, exact local Whittle estimator, block bootstrapping

On the comparison of cumulative hazard functions

( Sangun Park ) , ( Seung Ah Ha )  한국통계학회, CSAM(Communications for Statistical Applications and Methods) [2019] 제26권 제6호, 623~633페이지(총11페이지)

TAG empirical distribution function, exponential distribution, Kullback-Leibler information, Nelson-Aalen estimator, survival function

A model-free soft classification with a functional predictor

( Eugene Lee ) , ( Seung Jun Shin )  한국통계학회, CSAM(Communications for Statistical Applications and Methods) [2019] 제26권 제6호, 635~644페이지(총10페이지)

TAG functional data, Fisher consistency, support vector machines, probability estimation

Tests based on EDF statistics for randomly censored normal distributions when parameters are unknown

( Namhyun Kim )  한국통계학회, CSAM(Communications for Statistical Applications and Methods) [2019] 제26권 제5호, 431~443페이지(총13페이지)

TAG Anderson-Darling statistic, Cramer-von Mises statistic, goodness-of-fit tests, Kaplan- Meier estimator, Kolmogorov-Smirnov statistic, normal distribution, random censoring

Parametric survival model based on the Levy distribution

( Andrea Valencia-orozco ) , ( Jose R. Tovar-cuevas )  한국통계학회, CSAM(Communications for Statistical Applications and Methods) [2019] 제26권 제5호, 445~461페이지(총17페이지)

TAG censored data, estimation, Levy distribution, maximum likelihood, risk function, survival time

A robust method for response variable transformations using dynamic plots

( Han Son Seo )  한국통계학회, CSAM(Communications for Statistical Applications and Methods) [2019] 제26권 제5호, 463~471페이지(총9페이지)

TAG diagnostics, dynamic plots, outliers, partial linear models, variable transformations

A new extension of Lindley distribution: modified validation test, characterizations and different methods of estimation

( Mohamed Ibrahim ) , ( Abhimanyu Singh Yadav ) , ( Haitham M. Yousof Hafida Goual ) , ( G. G. Hamedani )  한국통계학회, CSAM(Communications for Statistical Applications and Methods) [2019] 제26권 제5호, 473~495페이지(총23페이지)

TAG different characterizations, validation test, different method of estimation and applications

The roles of differencing and dimension reduction in machine learning forecasting of employment level using the FRED big data

( Ji-eun Choi ) , ( Dong Wan Shin )  한국통계학회, CSAM(Communications for Statistical Applications and Methods) [2019] 제26권 제5호, 497~506페이지(총10페이지)

TAG employment forecast, deep neural network, differencing, dimension reduction, long short term memory, gated recurrent unit

1  2  3  4  5  6  7  8  9  10