With this extraordinary handbook, you, too, can frame the stars and have them hanging on your livingroom walls. Astrophotography for the Amateur provides a complete guide to taking pictures of stars, galaxies, the Moon, the Sun, comets, meteors and eclipses, using equipment and materials readily available to the hobbyist. Based on suggestions from readers of the first edition, the new edition has been completely updated and expanded to include new chapters on computer image processing and CCD imaging; expanded advice on choosing cameras and telescopes; completely updated information about films; a much larger bibliography; and hundreds of new photographs (in color and black and white) demonstrating the latest equipment and techniques. Astrophotography for the Amateur has become the standard handbook for all amateur astronomers. This new edition provides an ideal introduction for beginners and a complete handbook for advanced amateurs. It will also appeal to photography enthusiasts who will discover how to take spectacular images with only modest equipment. Michael A. Covington received his Ph.D. at Yale University. He is the author of several books, including Syntactic Theory in the High Middle Ages (Cambridge, 1984). He is a Senior Member of the IEEE and is the Associate Director of the Artificial Intelligence Center at the University of Georgia.
Sensitivity analysis should be considered a pre-requisite for statistical model building in any scientific discipline where modelling takes place. For a non-expert, choosing the method of analysis for their model is complex, and depends on a number of factors. This  book guides the non-expert through their problem in order to enable them to choose and apply the most appropriate method. It offers a review of the state-of-the-art in sensitivity analysis, and is suitable for a wide range of practitioners. It is focussed on the use of SIMLAB – a widely distributed freely-available sensitivity analysis software package developed by the authors – for solving problems in sensitivity analysis of statistical models. <p> Other key features: <ul> <li>Provides an accessible overview of the current most widely used methods for sensitivity analysis. <li>Opens with a detailed worked example to explain the motivation behind the book. <li>Includes a range of examples to help illustrate the concepts discussed. <li>Focuses on implementation of the methods in the software SIMLAB - a freely-available sensitivity analysis software package developed by the authors. <li>Contains a large number of references to sources for further reading. <li> <div>Authored by the leading authorities on sensitivity analysis.</div> </ul>