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Why write another guide to observing the Moon? That was the question I was pondering as I began this project, having a fine collection of "classic" lunar guidebooks dating back to 1791 in my own library. As a Fellow of the Royal Astronomical Society (RAS), member of the American Astronomical Society's Division for Planetary Sciences (AAS DPS), and member of the American Geophysical Union (AGU), I am fortunate to know many pro fessionallunar scientists who keep me up to date with developments in lunar scienc- contrary to public perception, lunar science has definitely not stagnated since the last Apollo, No. 17, left the surface of the Moon in December, 1972. I am also lucky to know many amateur lunar observers, who, like me, enjoy actually looking at the Moon with tele scopes and imaging it with a wide variety of devices ranging from regular 35 mm cameras to video recorders and CCD cameras. My friends who study the Moon, whether in their professions or just for fun, gave me several reasons for doing "another" lunar guidebook. First, the last lunar observer's guide of any length was published over ten years ago, and many reviewers noted that it was badly out of date even then.
ProMath is a small group of didacts of mathematics, who have the common scientific interest on problem solving activities in mathematics education. The 12th meeting of this group, the 12th international ProMath Conference was hold at the Friedrich-Schiller-University of Jena, Germany, 10-12 September 2010. This volume contains almost all the papers regarding to the presentations which were given during the meeting.
This magnificent book is the first comprehensive history of statistics from its beginnings around 1700 to its emergence as a distinct and mature discipline around 1900. Stephen M. Stigler shows how statistics arose from the interplay of mathematical concepts and the needs of several applied sciences including astronomy, geodesy, experimental psychology, genetics, and sociology. He addresses many intriguing questions: How did scientists learn to combine measurements made under different conditions? And how were they led to use probability theory to measure the accuracy of the result? Why were statistical methods used successfully in astronomy long before they began to play a significant role ...