Comparison of Methods of Estimating Missing Values in Time Series

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Open Journal of Statistics

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"Comparison of Methods of Estimating Missing Values in Time Series"
written by I. S. Iwueze, E. C. Nwogu, V. U. Nlebedim, U. I. Nwosu, U. E. Chinyem,
published by Open Journal of Statistics, Vol.8 No.2, 2018

has been cited by the following article(s):

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[1]	Consumer perception of price fairness and dynamic pricing: Evidence from Booking.com Journal of Business Research, 2022 DOI:10.1016/j.jbusres.2022.03.017

[2]	Consumer perception of price fairness and dynamic pricing: Evidence from Booking.com Journal of Business Research, 2022 DOI:10.1016/j.jbusres.2022.03.017

[3]	Kalman Filter Algorithm versus Other Methods of Estimating Missing Values: Time Series Evidence African Journal of Mathematics and Statistics Studies, 2021 DOI:10.52589/AJMSS-VFVNMQLX

[4]	Evaluation of Methods of Interpolation (Existing and Proposed) using Monte Carlo Simulation Technique and Delete-D Jackknife Method Earthline Journal of Mathematical Sciences, 2019 DOI:10.34198/ejms.2219.491503

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