Communications in Statistics - Theory and Methods, ISSN 0361-0926, 09/2019, pp. 1 - 18
Journal Article
SUT Journal of Mathematics, ISSN 0916-5746, 2014, Volume 50, Issue 2, pp. 475 - 482
Journal Article
Journal of Statistical Computation and Simulation, ISSN 0094-9655, 02/2012, Volume 82, Issue 2, p. 241
In this study, we derive an asymptotic expansion for the distribution of a linear discriminant function based on monotone missing training data. Asymptotic...
Discriminant analysis | Accuracy | Probability | Asymptotic methods | Monte Carlo simulation
Discriminant analysis | Accuracy | Probability | Asymptotic methods | Monte Carlo simulation
Journal Article
Journal of Statistical Planning and Inference, ISSN 0378-3758, 2012, Volume 142, Issue 1, pp. 110 - 125
In this paper, we propose an asymptotic approximation for the expected probabilities of misclassification (EPMC) in the linear discriminant function on the...
Monotone missing data | Probabilities of misclassification | Linear discriminant analysis | Asymptotic approximation | POPULATIONS | STATISTICS & PROBABILITY | SAMPLES | Monte Carlo method
Monotone missing data | Probabilities of misclassification | Linear discriminant analysis | Asymptotic approximation | POPULATIONS | STATISTICS & PROBABILITY | SAMPLES | Monte Carlo method
Journal Article
Journal of Statistical Computation and Simulation, ISSN 0094-9655, 04/2016, Volume 86, Issue 6, pp. 1150 - 1165
This paper presents test statistics for the hypotheses in profile analysis of high-dimensional data. The existing profile analysis methods on the basis of the...
62H15 | Cauchy-Schwarz inequality | profile analysis | high-dimensional data | 62E20 | Monte Carlo simulation | asymptotic expansion | Cauchy–Schwarz inequality | STATISTICS & PROBABILITY | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | PROFILE ANALYSIS | SAMPLE-SIZE | ASYMPTOTIC EXPANSIONS | NULL DISTRIBUTIONS | Hypotheses | Computer simulation | Covariance | Dimensional analysis | Estimating techniques | Regression analysis | Covariance matrix | Statistical tests | Correlation | Statistical analysis | Samples | Images | Statistical methods
62H15 | Cauchy-Schwarz inequality | profile analysis | high-dimensional data | 62E20 | Monte Carlo simulation | asymptotic expansion | Cauchy–Schwarz inequality | STATISTICS & PROBABILITY | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | PROFILE ANALYSIS | SAMPLE-SIZE | ASYMPTOTIC EXPANSIONS | NULL DISTRIBUTIONS | Hypotheses | Computer simulation | Covariance | Dimensional analysis | Estimating techniques | Regression analysis | Covariance matrix | Statistical tests | Correlation | Statistical analysis | Samples | Images | Statistical methods
Journal Article
Journal of Statistical Planning and Inference, ISSN 0378-3758, 2011, Volume 141, Issue 3, pp. 1297 - 1306
This paper proposes two asymptotic expansions relating to discrimination based on two-step monotone missing samples. These asymptotic expansions have been...
Monotone missing samples | Discriminant analysis | Probabilities of misclassification | Asymptotic approximation | Asymptotic expansion | STATISTICS & PROBABILITY
Monotone missing samples | Discriminant analysis | Probabilities of misclassification | Asymptotic approximation | Asymptotic expansion | STATISTICS & PROBABILITY
Journal Article
Statistica Neerlandica, ISSN 0039-0402, 08/2017, Volume 71, Issue 3, pp. 184 - 199
Journal Article
8.
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Bartlett correction to the likelihood ratio test for MCAR with two‐step monotone sample
Statistica Neerlandica, ISSN 0039-0402, 08/2017, Volume 71, Issue 3, pp. 184 - 199
Assuming that two‐step monotone missing data is drawn from a multivariate normal population, this paper derives the Bartlett‐type correction to the likelihood...
Bartlett correction | missing completely at random | monotone missing data AMS classification: 62H15, 62E20 | asymptotic expansion | monotone missing data | COVARIANCE-MATRIX | MULTIVARIATE NORMAL-DISTRIBUTION | MISSING DATA | POPULATIONS | STATISTICS & PROBABILITY | Monte Carlo method | Studies | Missing data | Population (statistical) | Statistical analysis | Computer simulation | Likelihood ratio | Test methods | Error correction | Monte Carlo simulation
Bartlett correction | missing completely at random | monotone missing data AMS classification: 62H15, 62E20 | asymptotic expansion | monotone missing data | COVARIANCE-MATRIX | MULTIVARIATE NORMAL-DISTRIBUTION | MISSING DATA | POPULATIONS | STATISTICS & PROBABILITY | Monte Carlo method | Studies | Missing data | Population (statistical) | Statistical analysis | Computer simulation | Likelihood ratio | Test methods | Error correction | Monte Carlo simulation
Journal Article
Dysphagia, ISSN 0179-051X, 04/2016, Volume 31, Issue 2, pp. 146 - 153
The purpose of this study was to determine the effect of regular ingestion of capsaicin-containing food that is easily available in everyday life on the...
Deglutition | Improvement | Deglutition disorders | Elderly | Swallowing response | Food | AGE-RELATED-CHANGES | OTORHINOLARYNGOLOGY | ASPIRATION | PHARYNGEAL | Capsaicin - pharmacology | Deglutition - drug effects | Humans | Male | Sensory System Agents - pharmacology | Young Adult | Vegetables - chemistry | Diet | Time Factors | Reaction Time - drug effects | Aged, 80 and over | Female | Brassica - chemistry | Complications and side effects | Care and treatment | Capsaicin | Aged | Research | Health aspects | Original
Deglutition | Improvement | Deglutition disorders | Elderly | Swallowing response | Food | AGE-RELATED-CHANGES | OTORHINOLARYNGOLOGY | ASPIRATION | PHARYNGEAL | Capsaicin - pharmacology | Deglutition - drug effects | Humans | Male | Sensory System Agents - pharmacology | Young Adult | Vegetables - chemistry | Diet | Time Factors | Reaction Time - drug effects | Aged, 80 and over | Female | Brassica - chemistry | Complications and side effects | Care and treatment | Capsaicin | Aged | Research | Health aspects | Original
Journal Article
Journal of Statistical Computation and Simulation, ISSN 0094-9655, 02/2012, Volume 82, Issue 2, pp. 241 - 259
In this study, we derive an asymptotic expansion for the distribution of a linear discriminant function based on monotone missing training data. Asymptotic...
monotone missing data | discriminant analysis | 62H30 | probabilities of misclassification | 62H10 | asymptotic approximation | asymptotic expansion | EPMC | EXACT MISCLASSIFICATION PROBABILITIES | ERRORS | APPROXIMATION | POPULATIONS | STATISTICS & PROBABILITY | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | SAMPLES | Training | Asymptotic expansions | Discriminant analysis | Monte Carlo methods | Discrimination | Computer simulation | Mathematical analysis | Mathematical models
monotone missing data | discriminant analysis | 62H30 | probabilities of misclassification | 62H10 | asymptotic approximation | asymptotic expansion | EPMC | EXACT MISCLASSIFICATION PROBABILITIES | ERRORS | APPROXIMATION | POPULATIONS | STATISTICS & PROBABILITY | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | SAMPLES | Training | Asymptotic expansions | Discriminant analysis | Monte Carlo methods | Discrimination | Computer simulation | Mathematical analysis | Mathematical models
Journal Article
11.
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On the asymptotic distribution of T2-type statistic with two-step monotone missing data
Journal of Statistical Theory and Practice, ISSN 1559-8608, 07/2018, Volume 12, Issue 3, pp. 657 - 668
Journal Article
Journal of Statistical Theory and Practice, ISSN 1559-8608, 07/2018, Volume 12, Issue 3, pp. 657 - 668
In this article, we consider the asymptotic distribution of Hotelling's T 2 -type test statistic when a two-step monotone missing data set is drawn from a...
two-step monotone missing data | 62H15 | stochastic expansion | 62H10 | Bartlett correction | Monte Carlo simulation | asymptotic expansion | chi-squared approximation
two-step monotone missing data | 62H15 | stochastic expansion | 62H10 | Bartlett correction | Monte Carlo simulation | asymptotic expansion | chi-squared approximation
Journal Article
Statistica Neerlandica, ISSN 0039-0402, 11/2015, Volume 69, Issue 4, pp. 460 - 482
A test statistic is developed for making inference about a block‐diagonal structure of the covariance matrix when the dimensionality p exceeds n, where n = N −...
block‐diagonal covariance structure, high dimensionality | Block-diagonal covariance structure | High dimensionality | MATRIX | STATISTICS & PROBABILITY | block-diagonal covariance structure | SAMPLE-SIZE | high dimensionality | FEWER OBSERVATIONS | Studies | Asymptotic methods | Statistical analysis | Naturvetenskap | Mathematics | Natural Sciences | Matematik | Sannolikhetsteori och statistik | Probability Theory and Statistics
block‐diagonal covariance structure, high dimensionality | Block-diagonal covariance structure | High dimensionality | MATRIX | STATISTICS & PROBABILITY | block-diagonal covariance structure | SAMPLE-SIZE | high dimensionality | FEWER OBSERVATIONS | Studies | Asymptotic methods | Statistical analysis | Naturvetenskap | Mathematics | Natural Sciences | Matematik | Sannolikhetsteori och statistik | Probability Theory and Statistics
Journal Article
Communications in Statistics - Theory and Methods, ISSN 0361-0926, 04/2016, Volume 45, Issue 7, pp. 1910 - 1922
We suggest shrinkage based technique for estimating covariance matrix in the high-dimensional normal model with missing data. Our approach is based on the...
Monotone missing data | High-dimensional estimation | 62F12 | 62H12 | HIGH-DIMENSIONAL DATA | MULTIVARIATE NORMAL-DISTRIBUTION | LINEAR DISCRIMINANT-ANALYSIS | STATISTICS & PROBABILITY | Missing data | Infinity | Simulation | Asymptotic properties | Dominance | Covariance matrix | Statistics | Estimators | Naturvetenskap | Mathematics | Natural Sciences | Matematik | Sannolikhetsteori och statistik | Probability Theory and Statistics
Monotone missing data | High-dimensional estimation | 62F12 | 62H12 | HIGH-DIMENSIONAL DATA | MULTIVARIATE NORMAL-DISTRIBUTION | LINEAR DISCRIMINANT-ANALYSIS | STATISTICS & PROBABILITY | Missing data | Infinity | Simulation | Asymptotic properties | Dominance | Covariance matrix | Statistics | Estimators | Naturvetenskap | Mathematics | Natural Sciences | Matematik | Sannolikhetsteori och statistik | Probability Theory and Statistics
Journal Article
Statistica Neerlandica, ISSN 0039-0402, 11/2015, Volume 69, Issue 4, pp. 460 - 482
Journal Article
High Energy Density Physics, ISSN 1574-1818, 07/2019, Volume 32, pp. 44 - 50
Nuclear emulsions are applied to identify multi-MeV protons accelerated by an intense PW-class laser. Although nuclear emulsions, which record the...
Laser ion acceleration | Ion beam diagnosis | Nuclear emulsion | PHYSICS, FLUIDS & PLASMAS | Protons | Detectors | Radiation
Laser ion acceleration | Ion beam diagnosis | Nuclear emulsion | PHYSICS, FLUIDS & PLASMAS | Protons | Detectors | Radiation
Journal Article
Communications in Statistics - Simulation and Computation, ISSN 0361-0918, 07/2010, Volume 39, Issue 7, pp. 1365 - 1383
This article proposes an asymptotic expansion for the Studentized linear discriminant function using two-step monotone missing samples under multivariate...
Monotone missing samples | Probabilities of misclassification | Asymptotic approximation | Linear discriminant analysis | Asymptotic expansion | STATISTICS & PROBABILITY | Studies | Discriminant analysis | Asymptotic expansions | Statistical analysis | Computer simulation | Computation | Mathematical analysis | Samples | Mathematical models | Statistical methods
Monotone missing samples | Probabilities of misclassification | Asymptotic approximation | Linear discriminant analysis | Asymptotic expansion | STATISTICS & PROBABILITY | Studies | Discriminant analysis | Asymptotic expansions | Statistical analysis | Computer simulation | Computation | Mathematical analysis | Samples | Mathematical models | Statistical methods
Journal Article
Journal of Multivariate Analysis, ISSN 0047-259X, 2011, Volume 102, Issue 2, pp. 252 - 263
In this paper, we consider the expected probabilities of misclassification (EPMC) in the linear discriminant function (LDF) based on two-step monotone missing...
Expected probability of misclassification | Monotone missing samples | Linear discriminant analysis | Asymptotic approximation | STATISTICS & PROBABILITY | INFERENCE | Linear discriminant analysis Expected probability of misclassification Asymptotic approximation Monotone missing samples | Monte Carlo method
Expected probability of misclassification | Monotone missing samples | Linear discriminant analysis | Asymptotic approximation | STATISTICS & PROBABILITY | INFERENCE | Linear discriminant analysis Expected probability of misclassification Asymptotic approximation Monotone missing samples | Monte Carlo method
Journal Article
Communications in Statistics - Simulation and Computation, ISSN 0361-0918, 02/2010, Volume 39, Issue 3, pp. 487 - 500
In this article, we propose tests for equality of mean vectors in two samples problem including missing data from multivariate normal population without...
62H15 | Hotelling's T | 2 | 62J15 | test | Likelihood ratio test | Behrens-Fisher Problem | Monte Carlo simulation | Simultaneous confidence intervals | Hotelling's T2 test | MULTIVARIATE NORMAL-DISTRIBUTION | STATISTICS & PROBABILITY | Studies | Equality
62H15 | Hotelling's T | 2 | 62J15 | test | Likelihood ratio test | Behrens-Fisher Problem | Monte Carlo simulation | Simultaneous confidence intervals | Hotelling's T2 test | MULTIVARIATE NORMAL-DISTRIBUTION | STATISTICS & PROBABILITY | Studies | Equality
Journal Article
SUT Journal of Mathematics, ISSN 0916-5746, 2012, Volume 48, Issue 1, pp. 55 - 69
Journal Article
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