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Cites:

1

Information Journal Paper

Title

A STUDY OF ANNUAL AND SEASONAL PRECIPITATION TRENDS IN IRAN USING A NONPARAMETRIC METHOD (SEN’S SLOPE ESTIMATOR)

Pages

  106-105

Abstract

 Introduction: PRECIPITATION has always been under investigation as the most important climatic element from both temporal and spatial perspectives. One of the methods that contribute to the review of the course of PRECIPITATION in the past and present is the 'time series TREND analysis'. So far, numerous statistical methods have been provided for the time series TREND analysis, which can be categorized into two parametric and nonparametric methods. The nonparametric methods are based on the differences between observation data; these methods are independent from statistical distribution and are more appropriate for the series with more skewness and kurtosis. Therefore, the objective of this study is to investigate the PRECIPITATION time series TREND over IRAN in seasonal and annual scales using the SEN’S SLOPE ESTIMATOR nonparametric method.

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  • Cite

    APA: Copy

    ALIJANI, B., MAHMOUDI, P., & CHOGAN, A.J.. (2012). A STUDY OF ANNUAL AND SEASONAL PRECIPITATION TRENDS IN IRAN USING A NONPARAMETRIC METHOD (SEN’S SLOPE ESTIMATOR). JOURNAL OF CLIMATE RESEARCH, 3(9), 106-105. SID. https://sid.ir/paper/401943/en

    Vancouver: Copy

    ALIJANI B., MAHMOUDI P., CHOGAN A.J.. A STUDY OF ANNUAL AND SEASONAL PRECIPITATION TRENDS IN IRAN USING A NONPARAMETRIC METHOD (SEN’S SLOPE ESTIMATOR). JOURNAL OF CLIMATE RESEARCH[Internet]. 2012;3(9):106-105. Available from: https://sid.ir/paper/401943/en

    IEEE: Copy

    B. ALIJANI, P. MAHMOUDI, and A.J. CHOGAN, “A STUDY OF ANNUAL AND SEASONAL PRECIPITATION TRENDS IN IRAN USING A NONPARAMETRIC METHOD (SEN’S SLOPE ESTIMATOR),” JOURNAL OF CLIMATE RESEARCH, vol. 3, no. 9, pp. 106–105, 2012, [Online]. Available: https://sid.ir/paper/401943/en

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