James Thompson (Over 7,500 results)

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Hardback. Condition: Good. A Booklist Best Crime Novel Debut Don't miss this one.--USA TodayA masterful job. -Michael Connelly It is called kaamos--two weeks of unrelenting darkness and soul-numbing cold that falls upon Finnish Lapland, a hundred miles into the Arctic Circle, just before Christmas. Some get through it with the help of cheap Russian alcohol; some sink into depression. This year, it may have driven someone mad enough to commit murder. The brutalized body of a beautiful Somali woman has been found in the snow, and Inspector Kari Vaara must find her killer. It will be a challenge in a place where ugly things lurk under frozen surfaces, and silence is a way of life. …

Hardback. Condition: Very Good. A Booklist Best Crime Novel Debut Don't miss this one.--USA TodayA masterful job. -Michael Connelly It is called kaamos--two weeks of unrelenting darkness and soul-numbing cold that falls upon Finnish Lapland, a hundred miles into the Arctic Circle, just before Christmas. Some get through it with the help of cheap Russian alcohol; some sink into depression. This year, it may have driven someone mad enough to commit murder. The brutalized body of a beautiful Somali woman has been found in the snow, and Inspector Kari Vaara must find her killer. It will be a challenge in a place where ugly things lurk under frozen surfaces, and silence is a way of life.…

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Hardback. Condition: Very Good. A unique, integrated treatment of computer modeling and simulation The future of science belongs to those willing to make the shift to simulation-based modeling, predicts Rice Professor James Thompson, a leading modeler and computational statistician widely known for his original ideas and engaging style. He discusses methods, available to anyone with a fast desktop computer, for integrating simulation into the modeling process in order to create meaningful models of real phenomena. Drawing from a wealth of experience, he gives examples from trading markets, oncology, epidemiology, statistical process control, physics, public policy, combat, real-world optimization, Bayesian analyses, and population dynamics. Dr. Thompson believes that, so far from liberating us from the necessity of modeling, the fast computer enables us to engage in realistic models of processes in, for example, economics, which have not been possible earlier because simple stochastic models in the forward temporal direction generally become quite unmanageably complex when one is looking for such things as likelihoods. Thompson shows how simulation may be used to bypass the necessity of obtaining likelihood functions or moment-generating functions as a precursor to parameter estimation. Simulation: A Modeler's Approach is a provocative and practical guide for professionals in applied statistics as well as engineers, scientists, computer scientists, financial analysts, and anyone with an interest in the synergy between data, models, and the digital computer.…

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