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Econometric Modelling with Time Series
"Maximum likelihood estimation is a general method for estimating the parameters of econometric models from observed data. The principle of maximum likelihood plays a central role in the exposition of this book, since a number of estimators used in econometrics can be derived within this framework. Examples include ordinary least squares, generalized least squares and full-information maximum likelihood. In deriving the maximum likelihood estimator, a key concept is the joint probability density function (pdf) of the observed random variables, yt. Maximum likelihood estimation requires that the following conditions are satisfied. (1) The form of the joint pdf of yt is known. (2) The specific...
Wilderness and Humanity
The proceedings from the 6th World Wilderness Congress held in Bangalore, India.
Secretary's Report
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Wilderness Management
"Written for wilderness and wildlands stewards and managers, wilderness advocates, and environmental educators everywhere, this revised fourth edition retains relevent material from from the first three editions and embraces new literature, research, legislation, policies, and approaches emerging in wilderness stewardship during the last decade." Back cover.
Photo-era Magazine
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