![]() Maybe she does need some adventure in her life. Her husband is a beer-bellied cheater in sweatpants. Later, she finds herself being held at gunpoint-even if it is by a sexy Jude Law lookalike whoīut the robbery goes wrong, and the police show up. Her day turns from bad to worse when, moments ![]() Shocked, Missy heads to the café in town. Home-and walks in on her husband Dale making out with their next-door neighbor. To learn that the hardware store is closing and she’s out of a job. Missy Turner’s son has gone to summer camp for six weeks, leaving behind an empty house-Īnd a mother who realizes her only child will soon leave home. ![]() With the purchase of a digital collection you getįree new releases every season for the duration Teachers’ guides, reading level lists and much High interest novels with contemporary themes, written expressly for students reading below grade level.Īll books are Accelerated Reader/Lexile selections. Theater, assessment rubrics and Digital Nation This unique resource includes comprehensionĮxercises, reading & writing activities, Readers The Government of Canada through the Canada Book Fund and the Canada Council for the Arts,Īnd the Province of British Columbia through the BC Arts Council and the Book Publishing Tax Credit. Orca Book Publishers gratefully acknowledges the support for its publishing programs provided by the following agencies: Orca Young Readers.At-level Fiction.Grades 3–5. Graphic Guide Adventures.At-level Graphic Novels.Grades 4–8. Orca Titles in French.Hi-Lo Fiction.Grades 5–8. Orca Currents Hardcovers.Hi-Lo Fiction.Grades 5–8. Orca Currents.Hi-Lo Fiction.Grades 5–8.16 Seven (the series).At-level Fiction.Grades 5–12.15 Orca Soundings Special Interest.Hi-Lo Fiction.Grades 8–12. Orca Soundings in Spanish.Hi-Lo Fiction.Grades 8–12. Orca Soundings Hardcovers.Hi-Lo Fiction.Grades 8–12. Orca Soundings in Leveled Sets.Hi-Lo Fiction.Grades 8–12. Orca Soundings.Hi-Lo Fiction.Grades 8–12. It is also a suitable supplement for courses on Monte Carlo methods and computational statistics at the upper-undergraduate and graduate levels.Middle-School Fiction for Reluctant Readers Handbook of Monte Carlo Methods is an excellent reference for applied statisticians and practitioners working in the fields of engineering and finance who use or would like to learn how to use Monte Carlo in their research. ![]() Detailed appendices provide background material on probability theory, stochastic processes, and mathematical statistics as well as the key optimization concepts and techniques that are relevant to Monte Carlo simulation. Random variable and stochastic process generation Markov chain Monte Carlo, featuring key algorithms such as the Metropolis-Hastings method, the Gibbs sampler, and hit-and-run Discrete-event simulation Techniques for the statistical analysis of simulation data including the delta method, steady-state estimation, and kernel density estimation Variance reduction, including importance sampling, latin hypercube sampling, and conditional Monte Carlo Estimation of derivatives and sensitivity analysis Advanced topics including cross-entropy, rare events, kernel density estimation, quasi Monte Carlo, particle systems, and randomized optimization The presented theoretical concepts are illustrated with worked examples that use MATLAB(R), a related Web site houses the MATLAB(R) code, allowing readers to work hands-on with the material and also features the author's own lecture notes on Monte Carlo methods. Subsequent chapters discuss key Monte Carlo topics and methods, including: The authors begin with a discussion of fundamentals such as how to generate random numbers on a computer. Handbook of Monte Carlo Methods provides the theory, algorithms, and applications that helps provide a thorough understanding of the emerging dynamics of this rapidly-growing field. The heightened popularity of these methods and their continuing development makes it important for researchers to have a comprehensive understanding of the Monte Carlo approach. A comprehensive overview of Monte Carlo simulation that explores the latest topics, techniques, and real-world applications More and more of today's numerical problems found in engineering and finance are solved through Monte Carlo methods. ![]()
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