49 verified PDFs
by SM Potter · 1999 · Cited by 231 — Three main types of nonlinear model are discussed: Markov. Switching, Threshold Autoregression and Smooth Transition Autore- gression. Classical and Bayesian ...
The aims of time series analysis are to describe and summarise time series data, fit low-dimensional models, and make forecasts. We write our real-valued series ...
Unobserved components time series models have a natural state space representation. The statistical treatment can therefore be based on the Kalman filter and ...
Abstract. The International Price Program of the Bureau of Labor Statistics estimates monthly indices on the changes in import and export prices for ...
In this paper, I will discuss a number of Stata's capabilities in the area of time series modeling, including data management and graphics. I will focus on a ...
Time series data refers to observations on a variable that occur in a time sequence. Mostly these observations are collected at equally spaced, discrete time ...
Time series forecasting methods involve the projection of future values of a variable ... Various Forecasting Methods Using Time Series. 10.1 Mean Forecast.
Time series statistical techniques are used to evaluate social processes occurring through time. A basic definition of a time series is that it is a set of ...
by DR Cox · 1981 · Cited by 1010 — The present paper gives a selective review of time series analysis; a detailed review with comprehensive references would be several times the length of this ...
