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Author: Jon Meier
Publisher: Heinemann
ISBN: 9780435384739
Category : Juvenile Nonfiction
Languages : en
Pages : 166
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Book Description
This book offers a lively, communicative approach to modern languages, underpinned by a clear grammatical foundation, for pupils with a lower ability. Staightforward explanations of the way that the language works are accompanied by regular reading and writing practice activities.
Author: Jon Meier
Publisher: Heinemann
ISBN: 9780435384739
Category : Juvenile Nonfiction
Languages : en
Pages : 166
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Book Description
This book offers a lively, communicative approach to modern languages, underpinned by a clear grammatical foundation, for pupils with a lower ability. Staightforward explanations of the way that the language works are accompanied by regular reading and writing practice activities.
Author:
Publisher:
ISBN: 9780435384920
Category : French language
Languages : en
Pages :
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Book Description
Author: James Essig
Publisher: Xlibris Corporation
ISBN: 1543425569
Category : Science
Languages : en
Pages : 9401
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Book Description
Some theoreticians contemplate and formulate the physics of tachyons, which are hypothetical particles, that would always travel faster than light but which could never slow down to the speed of light just as they anticipate sublight speed massive particles never being able to achieve light speed. So my theoretical work on the physics and kinematics of light-speed massive systems sets me apart from general trends in the theoretical field of relativistic astronautics. This book is a continuation of how and why we may be able to, at some future time, travel at the speed of light.
Author: Theresa J.B. Kline
Publisher: SAGE Publications
ISBN: 1452245134
Category : Social Science
Languages : en
Pages : 369
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Book Description
Psychological Testing: A Practical Approach to Design and Evaluation offers a fresh and innovative approach for graduate students and faculty in the fields of testing, measurement, psychometrics, research design, and related areas of study. Author Theresa J.B. Kline guides readers through the process of designing and evaluating a test, while ensuring that the test meets the highest professional standards. The author uses simple, clear examples throughout and fully details the required statistical analyses. Topics include—but are not limited to—design of item stems and responses; sampling strategies; classical and modern test theory; IRT program examples; reliability of tests and raters; validation using content, criterion-related, and factor analytic approaches; test and item bias; and professional and ethical issues in testing.
Author: William J. Stewart
Publisher: CRC Press
ISBN: 9780824784058
Category : Mathematics
Languages : en
Pages : 738
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Book Description
Papers presented at a workshop held January 1990 (location unspecified) cover just about all aspects of solving Markov models numerically. There are papers on matrix generation techniques and generalized stochastic Petri nets; the computation of stationary distributions, including aggregation/disagg
Author: Joseph K. Blitzstein
Publisher: CRC Press
ISBN: 0429766734
Category : Mathematics
Languages : en
Pages : 611
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Book Description
Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment. The second edition adds many new examples, exercises, and explanations, to deepen understanding of the ideas, clarify subtle concepts, and respond to feedback from many students and readers. New supplementary online resources have been developed, including animations and interactive visualizations, and the book has been updated to dovetail with these resources. Supplementary material is available on Joseph Blitzstein’s website www. stat110.net. The supplements include: Solutions to selected exercises Additional practice problems Handouts including review material and sample exams Animations and interactive visualizations created in connection with the edX online version of Stat 110. Links to lecture videos available on ITunes U and YouTube There is also a complete instructor's solutions manual available to instructors who require the book for a course.
Author: Gordon Linden
Publisher: Lulu.com
ISBN: 055764416X
Category : Performing Arts
Languages : en
Pages : 249
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Book Description
The Expo Book: A Guide to the Planning, Organization, Design & Operation of World Expositions
Author: Arthur Charpentier
Publisher: CRC Press
ISBN: 1466592605
Category : Business & Economics
Languages : en
Pages : 638
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Book Description
A Hands-On Approach to Understanding and Using Actuarial ModelsComputational Actuarial Science with R provides an introduction to the computational aspects of actuarial science. Using simple R code, the book helps you understand the algorithms involved in actuarial computations. It also covers more advanced topics, such as parallel computing and C/
Author: Martin Goldstern
Publisher: CRC Press
ISBN: 1439863539
Category : Mathematics
Languages : en
Pages : 218
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Book Description
This introduction to mathematical logic takes Gödel's incompleteness theorem as a starting point. It goes beyond a standard text book and should interest everyone from mathematicians to philosophers and general readers who wish to understand the foundations and limitations of modern mathematics.
Author: Sujit Sahu
Publisher: CRC Press
ISBN: 1000543692
Category : Mathematics
Languages : en
Pages : 385
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Book Description
Applied sciences, both physical and social, such as atmospheric, biological, climate, demographic, economic, ecological, environmental, oceanic and political, routinely gather large volumes of spatial and spatio-temporal data in order to make wide ranging inference and prediction. Ideally such inferential tasks should be approached through modelling, which aids in estimation of uncertainties in all conclusions drawn from such data. Unified Bayesian modelling, implemented through user friendly software packages, provides a crucial key to unlocking the full power of these methods for solving challenging practical problems. Key features of the book: • Accessible detailed discussion of a majority of all aspects of Bayesian methods and computations with worked examples, numerical illustrations and exercises • A spatial statistics jargon buster chapter that enables the reader to build up a vocabulary without getting clouded in modeling and technicalities • Computation and modeling illustrations are provided with the help of the dedicated R package bmstdr, allowing the reader to use well-known packages and platforms, such as rstan, INLA, spBayes, spTimer, spTDyn, CARBayes, CARBayesST, etc • Included are R code notes detailing the algorithms used to produce all the tables and figures, with data and code available via an online supplement • Two dedicated chapters discuss practical examples of spatio-temporal modeling of point referenced and areal unit data • Throughout, the emphasis has been on validating models by splitting data into test and training sets following on the philosophy of machine learning and data science This book is designed to make spatio-temporal modeling and analysis accessible and understandable to a wide audience of students and researchers, from mathematicians and statisticians to practitioners in the applied sciences. It presents most of the modeling with the help of R commands written in a purposefully developed R package to facilitate spatio-temporal modeling. It does not compromise on rigour, as it presents the underlying theories of Bayesian inference and computation in standalone chapters, which would be appeal those interested in the theoretical details. By avoiding hard core mathematics and calculus, this book aims to be a bridge that removes the statistical knowledge gap from among the applied scientists.
