Name: COMPSTAT 1984
ISBN: 978-3-642-51883-6

Editors:

T. Havránek,
Z. Šidák,
M. Novák

T. Havránek

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Z. Šidák

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M. Novák

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84 Citations

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Table of contents (73 papers)

Front Matter

Pages 1-8

PDF
Roots of Computational Statistics
1. Roots of Computational Statistics
  
  P. Sint
  
  Pages 9-20
Computational Statistics in Random Processes
1. Front Matter
  
  Pages 21-21
  
  PDF
2. New Algorithmic Developments for Estimation Problems in Time Series
  
  C. F. Ansley, R. Kohn
  
  Pages 23-34
3. Parameter Estimation and Order Determination of a Multivariate Autoregressive Process
  
  M. Krzyśko, D. Smoczyński
  
  Pages 35-40
4. On Fast Algorithms for Several Problems in Time Series Models
  
  G. Mélard
  
  Pages 41-45
Computational Aspects of Robustness
1. Front Matter
  
  Pages 47-47
  
  PDF
2. Robustness in Parametric and Non-Parametric Regression Estimation: An Investigation by Computer Simulations
  
  J. Antoch, G. Collomb, S. Hassani
  
  Pages 49-54
3. CEVOPE — a Program for Finding Conservative Estimates of the Variances of Regression Parameter Estimators when Errors are Serially Correlated
  
  C. A. Glasbey
  
  Pages 55-60
4. Robustness of Gumbel Statistic for Distribution Functions in the Domain of Attraction of a Type I Distribution of Largest Values
  
  M. I. Gomes
  
  Pages 61-66
5. Asymptotic Distribution of the Roots of a Correlation Matrix
  
  V. Lužar
  
  Pages 67-72
6. New Topics in Robust Statistics with Applications
  
  J. Michalek, I. Vajda, J. A. Víšek
  
  Pages 73-83
7. Boundary Effects in Nonparametric Curve Estimation Models
  
  H.-G. Müller
  
  Pages 84-89
8. Monte Carlo Analysis of Variance
  
  A. P. White, A. W. Still
  
  Pages 90-95
Computational Graphics in Statistical Data Analysis
1. Front Matter
  
  Pages 97-97
  
  PDF
2. Graphical Methods for the Manipulation and Solution of Systems of Linear Equations
  
  J. Gordesch
  
  Pages 99-104
3. DISTEP — Dynamic Interactive Statistical Teaching Package
  
  J. Puranen
  
  Pages 105-110
Various Statistical and Data Analytic Methods
1. Front Matter
  
  Pages 111-111
  
  PDF
2. Local and Partial Principal Component Analysis (PCA) and Correspondence Analysis (CA)
  
  T. A. Banet, L. Lebart
  
  Pages 113-118
3. Hierarchical Inference
  
  E. Diday
  
  Pages 119-124

Keywords

Bibliographic Information

Book Title: COMPSTAT 1984
Book Subtitle: Proceedings in Computational Statistics
Editors: T. Havránek, Z. Šidák, M. Novák
DOI: https://doi.org/10.1007/978-3-642-51883-6
Publisher: Physica Heidelberg
eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1984
Softcover ISBN: 978-3-7051-0007-7Published: 01 January 1984
eBook ISBN: 978-3-642-51883-6Published: 29 June 2013
Edition Number: 1
Number of Pages: 520
Topics: Economic Theory/Quantitative Economics/Mathematical Methods
Industry Sectors: Finance, Business & Banking

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Table of contents (73 papers)

Front Matter

Roots of Computational Statistics

Computational Statistics in Random Processes

Front Matter

Computational Aspects of Robustness

Front Matter

Computational Graphics in Statistical Data Analysis

Front Matter

Various Statistical and Data Analytic Methods

Front Matter

Keywords

Bibliographic Information

Publish with us

Buy it now

Buying options

Other ways to access

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