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Magic Tree House Fact Tracker #24 Dog Heroes

RRP $11.99

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Track the facts with Jack and Annie!

When Jack and Annie got back from their adventure in Magic Tree House #46: Dogs in the Dead of Night, they had lots of questions. How do St. Bernards help find avalanche survivors? Who are some of the most famous war dog heroes? What breeds make good service dogs? Find out the answers to these questions and more as Jack and Annie track the facts.

Filled with up-to-date information, photos, illustrations, and fun tidbits from Jack and Annie, the Magic Tree House Fact Trackers are the perfect way for kids to find out more about the topics they discovered in their favorite Magic Tree House adventures.And teachers can use Fact Trackers alongside their Magic Tree House fiction companions to meet common core text pairing needs.
 
Have more fun with Jack and Annie on the Magic Tree House® website at MagicTreeHouse.com!


Benchmarking For Performance Evaluation

RRP $354.99

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This book provides a detailed introduction to the theoretical and methodological foundations of production efficiency analysis using benchmarking. Two of the more popular methods of efficiency evaluation are Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DEA), both of which are based on the concept of a production possibility set and its frontier. Depending on the assumed objectives of the decision-making unit, a Production, Cost, or Profit Frontier is constructed from observed data on input and output quantities and prices. While SFA uses different maximum likelihood estimation techniques to estimate a parametric frontier, DEA relies on mathematical programming to create a nonparametric frontier. Yet another alternative is the Convex Nonparametric Frontier, which is based on the assumed convexity of the production possibility set and creates a piecewise linear frontier consisting of a number of tangent hyper planes.

Three of the papers in this volume provide a detailed and relatively easy to follow exposition of the underlying theory from neoclassical production economics and offer step-by-step instructions on the appropriate model to apply in different contexts and how to implement them. Of particular appeal are the instructions on (i) how to write the codes for different SFA models on STATA, (ii) how to write a VBA Macro for repetitive solution of the DEA problem for each production unit on Excel Solver, and (iii) how to write the codes for the Nonparametric Convex Frontier estimation. The three other papers in the volume are primarily theoretical and will be of interest to PhD students and researchers hoping to make methodological and conceptual contributions to the field of nonparametric efficiency analysis.



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Nostalgia Drag Races Australia





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