Short-listed for the 2003 Red Maple Award and Arthur Ellis Award for best Juvenile Book, commended for the 2003 Canadian Children's Book Centre Our Choice Selection Shelby Belgarden isn't exactly thrilled when people start thinking Greg is her boyfriend. After all, she's more interested in the athletic Nick Jarvis. But one day Greg suddenly becomes more interesting to Shelby – though for all the wrong reasons: Shelby begins to suspect that Greg is responsible for the series of arsons that have occurred in her small New Brunswick town in recent weeks. After finding out that Greg and his father had moved to this town after their old home burnt down – with Greg's mother inside – Shelby finds Greg's gasoline-soaked mitten near the scene of the latest arson. Shelby launches her own investigation into the crimes. As she does, she becomes aware that whoever is responsible may have been a victim of sexual abuse.

Probability With Permutations Understanding probability as unique and stimulating theory which goes beyond conventional mathematics, will give you better perspective of the world around you. The first part of the book explains the fundamentals of probability in clear and easy to understand way even if you are not familiar with mathematics at all and you are just starting your journey towards this particular field of science. In the following sections of the book, the subject is explained in wider context along with importance of permutations and combinations in probability and their applications to a variety of scientific problems as well as the importance of probability in real life situations. By Downloading This Book Now You Will Discover: History of Probability Explanation of Combinations Probability Using Permutations and Combinations Urn Problems Probability and Lottery Probability and Gambling Applications of Probability And much much more! Download this book now and learn more about Probability with Permutations!

Probability Theory and Mathematical Statistics for Engineers focuses on the concepts of probability theory and mathematical statistics for finite-dimensional random variables. The book underscores the probabilities of events, random variables, and numerical characteristics of random variables. Discussions focus on canonical expansions of random vectors, second-order moments of random vectors, generalization of the density concept, entropy of a distribution, direct evaluation of probabilities, and conditional probabilities. The text then examines projections of random vectors and their distributions, including conditional distributions of projections of a random vector, conditional numerical characteristics, and information contained in random variables. The book elaborates on the functions of random variables and estimation of parameters of distributions. Topics include frequency as a probability estimate, estimation of statistical characteristics, estimation of the expectation and covariance matrix of a random vector, and testing the hypotheses on the parameters of distributions. The text then takes a look at estimator theory and estimation of distributions. The book is a vital source of data for students, engineers, postgraduates of applied mathematics, and other institutes of higher technical education.

Metaphysics: The Fundamentals presents readers with a systematic, comprehensive introductory overview of modern analytic metaphysics. Presents an accessible, up-to-date and broad-ranging survey of one of the most dynamic and often daunting sub-fields in contemporary philosophy Introduces readers to the seminal works of contemporary and historic philosophers, including Descartes, Leibniz, Russell, David Lewis, Alvin Plantinga, Kit Fine, Peter van Inwagen, John Hawthorne and many others Explores key questions while identifying important assumptions, axioms, and methodological principles Addresses topics in ontology, modality, causality, and universals; as well as issues surrounding material composition, persistence, space, and time

Incorporating a collection of recent results, Polya Urn Models deals with discrete probability through the modern and evolving urn theory and its numerous applications. It looks at how some classical problems of discrete probability have roots in urn models. The book covers the Polya-Eggenberger, Bernard Friedman's, the Bagchi-Pal, and the Ehrenfest urns. It also explains the processes of poissonization and depoissonization and presents applications to random trees, evolution, competitive exclusion, epidemiology, clinical trials, and random circuits. The text includes end-of-chapter exercises that range from easy to challenging, along with solutions in the back of the book.

A Book Bundle of Probability with Permutations and Markov Models Get two books in one now!! Probability with Permutations: An Introduction to Probability and Combinations Understanding probability as unique and stimulating theory which goes beyond conventional mathematics, will give you better perspective of the world around you. The first part of the book explains the fundamentals of probability in clear and easy to understand way even if you are not familiar with mathematics at all and you are just starting your journey towards this particular field of science. In the following sections of the book, the subject is explained in wider context along with importance of permutations and combinations in probability and their applications to a variety of scientific problems as well as the importance of probability in real life situations. Markov Models: An Introduction to Markov Models This book will offer you an insight into the Hidden Markov Models as well as the Bayesian Networks. Additionally, by reading this book, you will also learn algorithms such as Markov Chain Sampling. Furthermore, this book will also teach you how Markov Models are very relevant when a decision problem is associated with a risk that continues over time, when the timing of occurrences is vital as well as when events occur more than once. This book highlights several applications of Markov Models. Lastly, after purchasing this book, you will need to put in a lot of effort and time for you to reap the maximum benefits. By Downloading This Book Bundle Now You Will Discover: History of Probability Explanation of Combinations Probability Using Permutations and Combinations Urn Problems Probability and Lottery Probability and Gambling Applications of Probability Hidden Markov Models Dynamic Bayesian Networks Stepwise Mutations using the Wright Fisher Model Using Normalized Algorithms to Update the Formulas Types of Markov Processes Important Tools used with HMM Machine Learning And much much more! Download this book bundle now and learn more about Probability with Permutations and Markov Models!

In this practical book, Moore highlights the importance of adoption for all Christians, encouraging readers to lead the way in adoption and orphan advocacy out of our identity as adopted children of God.