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Economics/Finances 12 Month Loans
Economics/Finances William H. Greene "Econometric Analysis" Solutions Manual (repost)
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Economics/Finances Yujiro Hayami, Yoshihisa Godo - Development Economics: From the Poverty to the Wealth of Nations
Economics/Finances Joel Blau - Illusions of Prosperity: America's Working Families in an Age of Economic Insecurity
Economics/Finances Kent Eaton - Politicians and Economic Reform in New Democracies: Argentina and the Philippines in the 1990s
Economics/Finances Transition, Regional Development And Globalization: China and Central Europe
Economics/Finances Macroeconomics: Principles and Applications, Reprint
Economics/Finances Petrochemical Economics: Technology Selection in a Carbon Constrained World
Economics/Finances Kaplan Schweser CFA 2010 Level 01 eBooks Videos 16CDs [Reup]
Economics/Finances Managing Financial Resources, 3rd edition
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Economics/Finances Economics in Russia
Economics/Finances The Innovation Playbook, web site: A Revolution in Business Excellence
Economics/Finances Организация деятельности центрального банка
Economics/Finances Курс экономической теории
Economics/Finances The Alpha Hunter: Profiting from Option LEAPS (Repost)
Economics/Finances Maladie, invalidité et travail : Surmonter les obstacles : Synthèse des résultats dans les pays de l'OCDE
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Economics/Finances Andrew Crane, "Corporations and Citizenship (Business, Value Creation, and Society)"
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Economics/Finances Optimum Experimental Designs, with SAS
Posted on 2010-03-15
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More Anthony Atkinson, Alexander Donev, Randall Tobias, "Optimum Experimental Designs, with SAS" Experiments on patients, processes or plants all have random error, making statistical methods essential for their efficient design and analysis. This book presents the theory and methods of optimum experimental design, making them available through the use of SAS programs. Little previous statistical knowledge is assumed. The first part of the book stresses the importance of models in the analysis of data and introduces least squares fitting and simple optimum experimental designs. The second part presents a more detailed discussion of the general theory and of a wide variety of experiments. The book stresses the use of SAS to provide hands-on solutions for the construction of designs in both standard and non-standard situations. The mathematical theory of the designs is developed in parallel with their construction in SAS, so providing motivation for the development of the subject. Many chapters cover self-contained topics drawn from science, engineering and pharmaceutical investigations, such as response surface designs, blocking of experiments, designs for mixture experiments and for nonlinear and generalized linear models. Understanding is aided by the provision of "SAS tasks" after most chapters as well as by more traditional exercises and a fully supported website. The authors are leading experts in key fields and this book is ideal for statisticians and scientists in academia, research and the process and pharmaceutical industries. Mirror: Mirror: MIRROR ALICEINFILE.135.IT
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