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optimal observation

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  • Optimal design — This article is about the topic in the design of experiments. For the topic in optimal control theory, see shape optimization. Gustav Elfving developed the optimal design of experiments, and so minimized surveyors need for theodolite measurements …   Wikipedia

  • Neyer d-optimal test — The Neyer D Optimal Test is one way of analyzing a sensitivity test of explosives as described by Barry T. Neyer in 1994. This method has replaced the earlier Bruceton analysis or Up and Down Test that was devised by Dixon and Mood in 1948 to… …   Wikipedia

  • Robbins' problem (of optimal stopping) — is a problem of optimal stopping, sometimes referred to as the fourth secretary problem or the problem of minimizing the expected rank with full information. Its statement is as follows. Let X 1, ... , X n be independent, identically distributed… …   Wikipedia

  • Microscopic Observation Drug Susceptibility assay — The Microscopic Observation Drug Susceptibility assay (MODS) is a culture method shown to be more sensitive, faster and cheaper test than current culture based tests for Tuberculosis. The Microscopic Observation Drug Susceptibility assay (MODS)… …   Wikipedia

  • Microscopic Observation Drug Susceptibility assay (MODS) — Main article: Microscopic Observation Drug Susceptibility assay The Microscopic Observation Drug Susceptibility assay (MODS) is a culture method shown to be more sensitive, faster and cheaper test than current culture based tests for Tuberculosis …   Wikipedia

  • Environment of Florida — Everglades National Park The state of Florida in the United States possesses a rich and diverse array of land and marine life and a mild subtropical climate. These assets have drawn millions of people to settle in the once rural state over the… …   Wikipedia

  • Kalman filter — Roles of the variables in the Kalman filter. (Larger image here) In statistics, the Kalman filter is a mathematical method named after Rudolf E. Kálmán. Its purpose is to use measurements observed over time, containing noise (random variations)… …   Wikipedia

  • Bayesian experimental design — provides a general probability theoretical framework from which other theories on experimental design can be derived. It is based on Bayesian inference to interpret the observations/data acquired during the experiment. This allows accounting for… …   Wikipedia

  • probability theory — Math., Statistics. the theory of analyzing and making statements concerning the probability of the occurrence of uncertain events. Cf. probability (def. 4). [1830 40] * * * Branch of mathematics that deals with analysis of random events.… …   Universalium

  • Dynamic treatment regime — In medical research, a dynamic treatment regime (DTR) or adaptive treatment strategy is a set of rules for choosing effective treatments for individual patients. The treatment choices made for a particular patient are based on that individual s… …   Wikipedia

  • Life Sciences — ▪ 2009 Introduction Zoology       In 2008 several zoological studies provided new insights into how species life history traits (such as the timing of reproduction or the length of life of adult individuals) are derived in part as responses to… …   Universalium

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