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Information Journal Paper

Title

LOCALLY STATIONARY WAVELET PROCESS AND ITS APPLICATION IN CONSUMER PRICE INDEX

Pages

  67-82

Abstract

 In this paper the new model of Locally Stationary WAVELET (LSW) processes is introduced which is based on reconstruction of functions using WAVELETs. This model creates a new class of time series that can have a non-stationary behavior. It is observed that, LSW model has a construction similar to moving average model. Finally time series data for CONSUMER PRICE INDEX (CPI) of the country (Iran) in a definite time interval is investigated using this model.

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    Cite

    APA: Copy

    HOSSEINI, BISTOON, & POUR TAHERI, REZA. (2012). LOCALLY STATIONARY WAVELET PROCESS AND ITS APPLICATION IN CONSUMER PRICE INDEX. INVESTMENT KNOWLEDGE, 1(1), 67-82. SID. https://sid.ir/paper/188050/en

    Vancouver: Copy

    HOSSEINI BISTOON, POUR TAHERI REZA. LOCALLY STATIONARY WAVELET PROCESS AND ITS APPLICATION IN CONSUMER PRICE INDEX. INVESTMENT KNOWLEDGE[Internet]. 2012;1(1):67-82. Available from: https://sid.ir/paper/188050/en

    IEEE: Copy

    BISTOON HOSSEINI, and REZA POUR TAHERI, “LOCALLY STATIONARY WAVELET PROCESS AND ITS APPLICATION IN CONSUMER PRICE INDEX,” INVESTMENT KNOWLEDGE, vol. 1, no. 1, pp. 67–82, 2012, [Online]. Available: https://sid.ir/paper/188050/en

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