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GND: 171638417


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estimation theoryregression analysislinear regressionregression modelsestimation regressionmeasurement errorsestimation linearregression coefficientsregression modelstein ruleconsistent estimationmodels missingprior informationdouble classclass estimatorsestimators coefficientscoefficients linearnon sphericallinear relationrule estimatorsestimators regressionquadratic lossconsequences departuredeparture normalitycalibration estimatorsregression methodestimation populationpopulation meanmultiple regressionefficiency propertiesmeasurement errorerror modelsmissing dataimproved estimationnon normalclassical inverseequi correlatedcorrelated responsesloss functionnormally distributeddistributed measurementproperties estimatorseffect nonkleinste quadrate methodeleast squares methodforecasting modelgeneralized bayesbayes estimatorestimator spatialspatial durbindurbin modelmodel booksbooks univariateunivariate bivariatebivariate multivariatemultivariate statisticsstatistics usingusing quantitativequantitative toolstools datadata analysisanalysis datadata sciencedanielsciencedaniel denisdenis hobokonhobokon njnj wiley
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Years of publications: 1996 - 2024

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The information on the author is retrieved from: Entity Facts (by DNB = German National Library data service), DBPedia and Wikidata

Shalabh


Affiliations

  • Indian Institute of Technology Kanpur. Department of Mathematics & Statistics
  • Panjab University. Department of Statistics (Chandigarh)
  • University of Jammu. Department of Statistics
  • Ludwig Maximillians University. Department of Statistics
  • External links

  • Gemeinsame Normdatei (GND) im Katalog der Deutschen Nationalbibliothek
  • Open Researcher and Contributor ID (ORCID)
  • Deutsche Digitale Bibliothek
  • Virtual International Authority File (VIAF)


  • Publishing years

    3
      2021
    1
      2009
    1
      2008
    3
      2006
    3
      2005
    1
      2002
    7
      2001
    1
      2000
    2
      1999
    2
      1997
    1
      1996

    Series

    1. Discussion paper / Sonderforschungsbereich 386 der Ludwig-Maximilians-Universität München (11)