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KRISHI

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(An Institutional Publication and Data Inventory Repository)


  1. KRISHI Publication and Data Inventory Repository
  2. Agricultural Education A1
  3. ICAR-Indian Agricultural Statistics Research Institute B7
  4. AEdu-IASRI-Publication
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"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item: http://krishi.icar.gov.in/jspui/handle/123456789/46418
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMrinmoy Rayen_US
dc.contributor.authorShivaswamy G Pen_US
dc.contributor.authorHarish Kumar H Ven_US
dc.date.accessioned2021-04-08T09:34:40Z-
dc.date.available2021-04-08T09:34:40Z-
dc.date.issued2019-12-20-
dc.identifier.citationRay, M, Shivaswamy, GP and Kumar, HV (2019). Statistical and Machine Learning Techniques for Modeling and Forecasting Agricultural Data. CAFT Training manual-II. pp 1-248. ICAR-IASRI, New Delhien_US
dc.identifier.issnNot Available-
dc.identifier.urihttp://krishi.icar.gov.in/jspui/handle/123456789/46418-
dc.descriptionThis training reference manual was brought out under Centre of Advanced Faculty Training program 'Statistical and Machine Learning Techniques for Modeling and Forecasting Agricultural Data', organized by Forecasting and Agricultural Systems Modeling division of ICAR-IASRI from 20th December 2019 to 09th January 2020 under the aegis of Education Division, ICAR, New Delhi. This manual includes advanced statistical modeling methodologies along with machine learning-based models for modeling and forecasting agricultural data through the use of various software packages (SAS, R, PYTHON and STATA).en_US
dc.description.abstractNot Availableen_US
dc.description.sponsorshipEducation Division, ICAR, New Delhien_US
dc.language.isoEnglishen_US
dc.publisherICAR-Indian Agricultural Statistics Research Instituteen_US
dc.relation.ispartofseriesNot Available;-
dc.subjectRegressionen_US
dc.subjectHybrid time series modelsen_US
dc.subjectRandom foresten_US
dc.subjectartificial neural networken_US
dc.subjectImpact assessmenten_US
dc.titleStatistical and Machine Learning Techniques for Modeling and Forecasting Agricultural Dataen_US
dc.title.alternativeNot Availableen_US
dc.typeTraining Manualen_US
dc.publication.projectcodeNot Availableen_US
dc.publication.journalnameNot Availableen_US
dc.publication.volumenoIIen_US
dc.publication.pagenumber1-248en_US
dc.publication.divisionUnitDivision of Forecasting and Agricultural Systems Modelingen_US
dc.publication.sourceUrlNot Availableen_US
dc.publication.authorAffiliationICAR::Indian Agricultural Statistics Research Instituteen_US
dc.ICARdataUseLicencehttp://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdfen_US
dc.publication.naasratingNot Available-
Appears in Collections:AEdu-IASRI-Publication

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