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Author: Commonwealth Shipping Committee
Publisher:
ISBN:
Category : Shipping
Languages : en
Pages : 538
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Book Description
Author: Commonwealth Shipping Committee
Publisher:
ISBN:
Category : Shipping
Languages : en
Pages : 538
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Book Description
Author: Great Britain. Commissioners Appointed to Inquire into the Condition of the Exchequer (Now Board of Trade) Standards
Publisher:
ISBN:
Category : Weights and measures
Languages : en
Pages : 1250
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Book Description
Author: United States. Federal Highway Administration
Publisher:
ISBN:
Category : Highway research
Languages : en
Pages : 516
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Book Description
Author: Great Britain. Board of Education
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 890
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Book Description
Author: Great Britain. Reformatory and Industrial Schools Dept
Publisher:
ISBN:
Category :
Languages : en
Pages : 664
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Book Description
Author: United States. Federal Energy Regulatory Commission
Publisher:
ISBN:
Category : Energy conservation
Languages : en
Pages : 2424
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Book Description
Author: Abraham Clark Freeman
Publisher:
ISBN:
Category : Law reports, digests, etc
Languages : en
Pages : 1118
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Book Description
Author: Stan Lee
Publisher: Harper Voyager
ISBN: 0358117607
Category : Fiction
Languages : en
Pages : 345
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Book Description
Set in Lee's Alliances Universe, co-created by Lee, Lieberman, and Silbert, and along with Edgar Award-nominated co-writer Rosenfield, this novel is packed with the pulse-pounding, breakneck adventure, and the sheer exuberant invention that have defined his career as the creative mastermind behind Marvel's spectacular universe.
Author: Canada. Parliament. House of Commons
Publisher:
ISBN:
Category : Canada
Languages : en
Pages : 1446
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Book Description
Author: Richard McElreath
Publisher: CRC Press
ISBN: 1315362619
Category : Mathematics
Languages : en
Pages : 488
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Book Description
Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web Resource The book is accompanied by an R package (rethinking) that is available on the author’s website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.
