Kim, J., Park, S., Jeung, G. and Lee, J. (2016) Estimation of a Menstrual Cycle by Covariance Stationary-Time Series Analysis on the Basal Body Temperatures. Journal of Medical and Bioengineering, 5, 63-66.
http://dx.doi.org/10.12720/jomb.5.1.63-66

has been cited by the following article:

• TITLE: Spectral Density Estimation of Continuous Time Series

  AUTHORS: Ahmed Elhassanein

  KEYWORDS: Joint Segments of Observations, Modified Periodograms, Spectral Density Matrix, Wishart Matrix

  JOURNAL NAME: Applied Mathematics, Vol.7 No.17, November 17, 2016

  ABSTRACT: This paper studies spectral density estimation of a strictly stationary r-vector valued continuous time series including missing observations. The finite Fourier transform is constructed in L-joint segments of observations. The modified periodogram is defined and smoothed to estimate the spectral density matrix. We explore the properties of the proposed estimator. Asymptotic distribution is discussed.