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Simplifying the Markov chain analysis of rainfall data using gensat/ Jacob Ong'ala, David Stern and Stern Roger

By: Contributor(s): Series: Wiley series in probability and mathematical statistics | A Wiley publication in mathematical statisticsPublication details: New York : LAP LAMBERT Academic Publishing 2011Description: xvi, 101 p. : illISBN:
  • 9783845405759
Subject(s): LOC classification:
  • QA274.7.O54 2011
Online resources:
Contents:
Introduction Literature review Fitting Markov chain models using instat and marksim Genstat command interface Markov modeling of climatic data in genstat Results and discussion Conclusion and further work
Summary: Despite the rapid development of statistical packages, a lot of climatic data still remain unanalyzed due to lack of specialized routines in most of the packages. One package has a climatic menu though with limitation on complex analysis such as generalized linear models. Others can perform the Generalized Linear Model analysis but do not have a specialized menu for analyzing climatic data. There is no statistical package currently available which has a specialized capability to do climatic analysis easily and includes the use of generalized linear models. This study starts the work of creating a specialized menu in GenStat for analyzing climatic data by implementing Markov modeling of rainfall data. Four procedures have been written and corresponding dialogues were created to ease their use. Incorporating a climatic menu into GenStat package will support researchers in agricultural and many other fields that need an analysis of climatic data as part of their work.
Reviews from LibraryThing.com: List(s) this item appears in: SFAE - PROBABILITY AND STATISTICS (J.ONGA'LA)
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Thesis Thesis Strathmore University (Main Library) Special Collection QA274.7.O54 2011 Not for loan 83799
Total holds: 0

Includes bibliography and index.

Introduction
Literature review
Fitting Markov chain models using instat and marksim
Genstat command interface
Markov modeling of climatic data in genstat
Results and discussion
Conclusion and further work

Despite the rapid development of statistical packages, a lot of climatic data still remain unanalyzed due to lack of specialized routines in most of the packages. One package has a climatic menu though with limitation on complex analysis such as generalized linear models. Others can perform the Generalized Linear Model analysis but do not have a specialized menu for analyzing climatic data. There is no statistical package currently available which has a specialized capability to do climatic analysis easily and includes the use of generalized linear models. This study starts the work of creating a specialized menu in GenStat for analyzing climatic data by implementing Markov modeling of rainfall data. Four procedures have been written and corresponding dialogues were created to ease their use. Incorporating a climatic menu into GenStat package will support researchers in agricultural and many other fields that need an analysis of climatic data as part of their work.

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