Statistics Resources - Econometrics - Forecasting
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|Concepts, formulas, and online software of descriptive statistics, continuous distributions, econometrics, and time series analysis (forecasting). Descriptive statistics covered include central tendency, concentration; box plots; density trace; moments; correlations; quartiles; simple linear regression; histograms; skewness; kurtosis; corrected and non-corrected rank order correlation; and variability. The site offers descriptions of these kinds of continuous distributions: Beta, inverted Beta, Cauchy, chi, chi square, Erlang, exponential, Fisher F, gamma, inverted gamma, Gumbel, Laplace, logistic, lognormal, normal, Pareto, power, Rayleigh, r-Distribution, rectangular, student t, triangular, and Weibull. Contents of their online econometrics textbook range from matrix algebra to linear regression techniques and regression extensions. The time series analysis and forecasting section addresses ARIMA identification, univariate stochastic ARIMA model estimation, checking, and forecasting; transfer function-noise models; and multiple time series models. Download real-world data in ASCII or MS Excel.|
|Levels:||High School (9-12), College|
|Resource Types:||Reference Sources, Archives/Download Sites, Topic Tools Miscellaneous, Web Interactive/Java|
|Math Topics:||Data Analysis, Statistics, Stochastic Processes|
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