Springer Proceedings in Mathematics & Statistics - Stochastic Models, Statistics and Their Applications
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Published By Springer International Publishing

9783030286644, 9783030286651

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On Combining Star-Shaped Distributions and Copulas

Springer Proceedings in Mathematics & Statistics - Stochastic Models, Statistics and Their Applications ◽

10.1007/978-3-030-28665-1_8 ◽

2019 ◽

pp. 111-120

Author(s):

Eckhard Liebscher

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A Criterion for Weak Convergence in Vector Skorokhod Spaces

Springer Proceedings in Mathematics & Statistics - Stochastic Models, Statistics and Their Applications ◽

10.1007/978-3-030-28665-1_7 ◽

2019 ◽

pp. 101-110

Author(s):

Petr Lachout

Keyword(s):

Weak Convergence

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Zero-Distorted Compound Poisson INGARCH Models

Springer Proceedings in Mathematics & Statistics - Stochastic Models, Statistics and Their Applications ◽

10.1007/978-3-030-28665-1_22 ◽

2019 ◽

pp. 305-314

Author(s):

E. Gonçalves ◽

N. Mendes-Lopes

Keyword(s):

Compound Poisson

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On the Sample Coefficient of Nominal Variation

Springer Proceedings in Mathematics & Statistics - Stochastic Models, Statistics and Their Applications ◽

10.1007/978-3-030-28665-1_18 ◽

2019 ◽

pp. 239-250 ◽

Cited By ~ 2

Author(s):

Christian H. Weiß

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Local Polynomial M-Estimation in Random Design Regression with Dependent Errors

Springer Proceedings in Mathematics & Statistics - Stochastic Models, Statistics and Their Applications ◽

10.1007/978-3-030-28665-1_16 ◽

2019 ◽

pp. 219-227

Author(s):

Liu Yixuan ◽

J. R. Wishart

Keyword(s):

Random Design ◽

Local Polynomial ◽

M Estimation

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The Hotelling—Like $$T^2$$ T 2 Control Chart Modified for Detecting Changes in Images having the Matrix Normal Distribution

Springer Proceedings in Mathematics & Statistics - Stochastic Models, Statistics and Their Applications ◽

10.1007/978-3-030-28665-1_14 ◽

2019 ◽

pp. 193-206 ◽

Cited By ~ 1

Author(s):

Ewaryst Rafajłowicz ◽

Ansgar Steland

Keyword(s):

Normal Distribution ◽

Control Chart ◽

The Matrix ◽

Matrix Normal ◽

Matrix Normal Distribution

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A Quadratic Classifier for High-Dimension, Low-Sample-Size Data Under the Strongly Spiked Eigenvalue Model

Springer Proceedings in Mathematics & Statistics - Stochastic Models, Statistics and Their Applications ◽

10.1007/978-3-030-28665-1_10 ◽

2019 ◽

pp. 131-142

Author(s):

Aki Ishii ◽

Kazuyoshi Yata ◽

Makoto Aoshima

Keyword(s):

Sample Size ◽

High Dimension ◽

Size Data

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A New INARMA(1, 1) Model with Poisson Marginals

Springer Proceedings in Mathematics & Statistics - Stochastic Models, Statistics and Their Applications ◽

10.1007/978-3-030-28665-1_24 ◽

2019 ◽

pp. 323-333

Author(s):

Johannes Bracher

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Stochastic Framework for Contrast-Detection Autofocusing

Springer Proceedings in Mathematics & Statistics - Stochastic Models, Statistics and Their Applications ◽

10.1007/978-3-030-28665-1_29 ◽

2019 ◽

pp. 385-392

Author(s):

Przemysław Śliwiński ◽

Paweł Wachel ◽

Adrian Gałęziowski

Keyword(s):

Contrast Detection ◽

Stochastic Framework

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Automatic Breast Cancer Diagnostics Based on Statistical Analysis of Shape and Texture Features of Individual Cell Nuclei

Springer Proceedings in Mathematics & Statistics - Stochastic Models, Statistics and Their Applications ◽

10.1007/978-3-030-28665-1_28 ◽

2019 ◽

pp. 373-383 ◽

Cited By ~ 1

Author(s):

Artur Gramacki ◽

Marek Kowal ◽

Małgorzata Mazurkiewicz ◽

Jarosław Gramacki ◽

Anna Pławiak-Mowna

Keyword(s):

Breast Cancer ◽

Statistical Analysis ◽

Individual Cell ◽

Texture Features ◽

Cancer Diagnostics ◽

Cell Nuclei ◽

Breast Cancer Diagnostics

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Springer Proceedings in Mathematics & Statistics - Stochastic Models, Statistics and Their ApplicationsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

On Combining Star-Shaped Distributions and Copulas

A Criterion for Weak Convergence in Vector Skorokhod Spaces

Zero-Distorted Compound Poisson INGARCH Models

On the Sample Coefficient of Nominal Variation

Local Polynomial M-Estimation in Random Design Regression with Dependent Errors

The Hotelling—Like $$T^2$$ T 2 Control Chart Modified for Detecting Changes in Images having the Matrix Normal Distribution

A Quadratic Classifier for High-Dimension, Low-Sample-Size Data Under the Strongly Spiked Eigenvalue Model

A New INARMA(1, 1) Model with Poisson Marginals

Stochastic Framework for Contrast-Detection Autofocusing

Automatic Breast Cancer Diagnostics Based on Statistical Analysis of Shape and Texture Features of Individual Cell Nuclei

Springer Proceedings in Mathematics & Statistics - Stochastic Models, Statistics and Their Applications
Latest Publications