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Titlebook: Stochastic and Statistical Methods in Hydrology and Environmental Engineering; Volume 4: Effective Keith W. Hipel (Professor and Chair),Li

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T. Masumoto,H. Sato,K. Iwasaki,K. Shibuyaects of ethanol is the μ-opioid receptor. How exactly ethanol modulates μ-receptor function will be a major challenge of future research. Nevertheless, the apparently critical role of the μ receptor in ethanol reinforcement refocuses the neuropharmacology of ethanol reinforcement in the opioid pepti
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ects of ethanol is the μ-opioid receptor. How exactly ethanol modulates μ-receptor function will be a major challenge of future research. Nevertheless, the apparently critical role of the μ receptor in ethanol reinforcement refocuses the neuropharmacology of ethanol reinforcement in the opioid pepti
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K. S. Tickle,I. C. Goulteret of conditions under which the wider social network can also be effective. Early results are promising though not well understood. The next generation of network therapies will focus on testing the conditions under which various components of the patient’s social network are important in affecting
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Yongyuan Yin,Keith W. Hipelet of conditions under which the wider social network can also be effective. Early results are promising though not well understood. The next generation of network therapies will focus on testing the conditions under which various components of the patient’s social network are important in affecting
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Stochastic and Statistical Methods in Hydrology and Environmental EngineeringVolume 4: Effective
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L. A. Loganitional advances in the treatment of alcoholism can be predicted in the near future. Stephanie O‘Malley, Ph. D. President, Research Society on Alcoholism xi Pre978-1-4757-8214-1978-0-306-47939-7Series ISSN 0738-422X
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Square Root Transformation of Data in an Effluent Limit Setting Program distribution. For the estimation of the 99-th percentile, the maximum likelihood estimator, the estimator obtained by transforming back and the unbiased estimator are compared. The 95-th percentile of the mean of four observations is based on the 95-th percentile of a noncentral distribution with f
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A Comparison of Some Omnibus Monitoring Schemesre performed on static and dynamic models. The basis for comparison are the average run length (ARL), the expected extra quadratic loss (EEQL), the expected extra loss due to defectives (EELD), and the average delay time (ADT). These comparisons show that the Omnibus CUSUM procedure performs better
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Environmental Monitoring: Architecture of a Global Modelollection of independent systems. For complex processes there.is a need for a systematic approach to evaluating monitoring concepts and procedures. This paper discusses some of the reasons for such an approach and presents a conceptual framework for evaluating compliance with regulations and optimiz
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