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Robust models with transformed data and measurement errors

Project goals

The multivariate data are often not directly observable, while we can only observe their trasnformed forms onto simpler subsets, mostly of lower dimensions. Our conclusions, the statistical inference, can be then based only on such transformed data. Moreover, the data are often measured with random errors, which are not under our control; this can be caused by their automatic collection or by a shortage of the measurement technique. We intend to study procedures of statistical inference based on the transformed or erroneously measured data. Namely, we shall concentrate on (1) transformation of robust estimators onto simpler subsets, their applications and properties; (2) nonparametric statistical procedures, based on the transformed data, and the effect of their conclusions; (3) modifications of rank and regression rank scores tests and the quantile methods in the presence of measurement errors; (4) possible ordering of the transformed data and a consequent application of the extreme value theory; (5)applications of the results to problems of financial markets; (6) robustness, stability and sensitivity of stochastic optimization problems under transformations or measurement errors; (7) algorithms and computational techniques for the constructed modified procedures.

Keywords

chyby měřenítransformovaná datarobustní a neparametrická inferencestochastické programování

Public support

  • Provider

    Czech Science Foundation

  • Programme

    Standard projects

  • Call for proposals

    Standardní projekty 12 (SGA02009GA-ST)

  • Main participants

  • Contest type

    VS - Public tender

  • Contract ID

    201/09/0133

Alternative language

  • Project name in Czech

    Robustní modely s transformovanými a chybně měřenými daty

  • Annotation in Czech

    Modifikované robustní statistické postupy založené na transformovaných nebo chybně měřených datech: modifikace pořadových a kvantilových metod; možná uspořádání transformovaných dat a jejich extrémy; aplikace v ekonometrii, ve financích a ve stochastickéoptimalizaci; výpočetní postupy.

Scientific branches

  • R&D category

    ZV - Basic research

  • CEP classification - main branch

    BA - General mathematics

  • CEP - secondary branch

    BB - Applied statistics, operational research

  • CEP - another secondary branch

  • 10101 - Pure mathematics
    10103 - Statistics and probability

Completed project evaluation

  • Provider evaluation

    V - Vynikající výsledky projektu (s mezinárodním významem atd.)

  • Project results evaluation

    The project was excellent, both in terms of expertise and in terms of disbursement of funds.

Solution timeline

  • Realization period - beginning

    Jan 1, 2009

  • Realization period - end

    Dec 31, 2011

  • Project status

    U - Finished project

  • Latest support payment

    Apr 16, 2011

Data delivery to CEP

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

  • Data delivery code

    CEP12-GA0-GA-U/02:2

  • Data delivery date

    May 2, 2016

Finance

  • Total approved costs

    1,479 thou. CZK

  • Public financial support

    1,479 thou. CZK

  • Other public sources

    0 thou. CZK

  • Non public and foreign sources

    0 thou. CZK

Basic information

Recognised costs

1 479 CZK thou.

Public support

1 479 CZK thou.

100%


Provider

Czech Science Foundation

CEP

BA - General mathematics

Solution period

01. 01. 2009 - 31. 12. 2011