Book picks similar to
Introduction to Stochastic Processes by Gregory F. Lawler
mathematics
math
stochastic-processes
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Canon EOS Rebel T3i/600D: From Snapshots to Great Shots
Jeff Revell - 2011
With Canon EOS Rebel T3i/600D: From Snapshots to Great Shots, you get the perfect blend of photography instruction and camera reference that will take your images to the next level! Beautifully illustrated with large, vibrant photos, this book teaches you how to take control of your photography to get the image you want every time you pick up the camera.Follow along with your friendly and knowledgeable guide, photographer and author Jeff Revell, and you will: Learn the top ten things you need to know about shooting with the Rebel Use the Rebel's automatic modes to get better shots right away Move on to the Creative zone, where you have full control over the look and feel of your images Master the photographic basics of composition, focus, depth of field, and much more Learn all the best tricks and techniques for getting great action shots, landscapes, and portraits Find out how to get great shots in low light Fully grasp all the concepts and techniques as you go, with assignments at the end of every chapter With Canon EOS Rebel T3i/600D: From Snapshots to Great Shots, you'll learn not only what makes a great shot work--you'll learn how to get that shot using your Rebel.And once you've got the shot, show it off! Join the book's Flickr group, share your photos, and discuss how you use your Rebel to get great shots at flickr.com/groups/canonrebelt3i600dfr....
Rick Steves Belgium: Bruges, Brussels, Antwerp & Ghent
Rick Steves - 2015
Stop and smell the tulips as you hike past whirring windmills. Visit the ultramodern European Parliament. Explore beyond the cosmopolitan bustle of Brussels with trips to Ghent and Antwerp. When it’s time for a break, sample fine chocolates or sip local beers—each served in its own distinctive glass.Rick’s candid, humorous advice will guide you to good-value hotels and restaurants. He’ll help you plan where to go and what to see, depending on the length of your trip. You’ll get up-to-date recommendations about what is worth your time and money. More than just reviews and directions, a Rick Steves guidebook is a tour guide in your pocket.This first edition guide replaces Rick Steves' Snapshot Bruges & Brussels, ISBN 9781612382296.
Statistical Inference
George Casella - 2001
Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and are natural extensions and consequences of previous concepts. This book can be used for readers who have a solid mathematics background. It can also be used in a way that stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures for a variety of situations, and less concerned with formal optimality investigations.
Single Variable Calculus
James Stewart - 1991
Stewart's Calculus is successful throughout the world because he explains the material in a way that makes sense to a wide variety of readers. His explanations make ideas come alive, and his problems challenge, to reveal the beauty of calculus. Stewart's examples stand out because they are not just models for problem solving or a means of demonstrating techniques--they also encourage readers to develp an analytic view of the subject. This edition includes new problems, examples, and projects.
Schaum's Outline of Calculus
Frank Ayres Jr. - 1990
They'll also find the related analytic geometry much easier. The clear review of algebra and geometry in this edition will make calculus easier for students who wish to strengthen their knowledge in these areas. Updated to meet the emphasis in current courses, this new edition of a popular guide--more than 104,000 copies were bought of the prior edition--includes problems and examples using graphing calculators..
An Introduction to Probability Theory and Its Applications, Volume 1
William Feller - 1968
Beginning with the background and very nature of probability theory, the book then proceeds through sample spaces, combinatorial analysis, fluctuations in coin tossing and random walks, the combination of events, types of distributions, Markov chains, stochastic processes, and more. The book's comprehensive approach provides a complete view of theory along with enlightening examples along the way.
Mathematical Statistics with Applications (Mathematical Statistics (W/ Applications))
Dennis D. Wackerly - 1995
Premiere authors Dennis Wackerly, William Mendenhall, and Richard L. Scheaffer present a solid foundation in statistical theory while conveying the relevance and importance of the theory in solving practical problems in the real world. The authors' use of practical applications and excellent exercises helps readers discover the nature of statistics and understand its essential role in scientific research.
Paul Wilmott Introduces Quantitative Finance (The Wiley Finance Series)
Paul Wilmott - 2001
Adapted from the comprehensive, even epic, works Derivatives and Paul Wilmott on Quantitative Finance, Second Edition, it includes carefully selected chapters to give the student a thorough understanding of futures, options and numerical methods. Software is included to help visualize the most important ideas and to show how techniques are implemented in practice. There are comprehensive end-of-chapter exercises to test students on their understanding.
Algebra - The Very Basics
Metin Bektas - 2014
This book picks you up at the very beginning and guides you through the foundations of algebra using lots of examples and no-nonsense explanations. Each chapter contains well-chosen exercises as well as all the solutions. No prior knowledge is required. Topics include: Exponents, Brackets, Linear Equations and Quadratic Equations. For a more detailed table of contents, use the "Look Inside" feature. From the author of "Great Formulas Explained" and "Physics! In Quantities and Examples".
Reinforcement Learning: An Introduction
Richard S. Sutton - 1998
Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications.Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives when interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications. The only necessary mathematical background is familiarity with elementary concepts of probability.The book is divided into three parts. Part I defines the reinforcement learning problem in terms of Markov decision processes. Part II provides basic solution methods: dynamic programming, Monte Carlo methods, and temporal-difference learning. Part III presents a unified view of the solution methods and incorporates artificial neural networks, eligibility traces, and planning; the two final chapters present case studies and consider the future of reinforcement learning.
Doing Bayesian Data Analysis: A Tutorial Introduction with R and BUGS
John K. Kruschke - 2010
Included are step-by-step instructions on how to carry out Bayesian data analyses.Download Link : readbux.com/download?i=0124058884 0124058884 Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan PDF by John Kruschke
Professor Stewart's Cabinet of Mathematical Curiosities
Ian Stewart - 2008
This book reveals the most exhilarating oddities from Professor Stewart's legendary cabinet.Inside, you will find hidden gems of logic, geometry, and probability-like how to extract a cherry from a cocktail glass (harder than you think), a pop-up dodecahedron, and the real reason why you can't divide anything by zero. Scattered among these are keys to Fermat's last theorem, the Poincaréonjecture, chaos theory, and the P=NP problem (you'll win a million dollars if you solve it). You never know what enigmas you'll find in the Stewart cabinet, but they're sure to be clever, mind-expanding, and delightfully fun.
Before You Get Your Puppy
Ian Dunbar - 2011
"BEFORE You Get Your Puppy" covers the first three developmental deadlines covering the period of puppy selection until your puppy's first week at home. 1st Developmental Deadline: Your Education About Puppy Education - Before you search for a puppy you need to complete your education about puppy education. You need to know how to select a good puppy and how puppies work. Selecting a puppy is similar to selecting a car: Do lots of research beforehand and "test drive" a wide variety. But first, you need to learn how to drive. 2nd Developmental Deadline: Evaluating Your Prospective Puppy's Progress - Before you choose your puppy, you need to know how to assess your prospective puppy's current socialization and educational status. Regardless of breed or breeding, if socialization, housetraining, and basic manners are not well underway by eight weeks of age, the puppy is already developmentally retarded. 3rd Developmental Deadline: Errorless Housetraining & Chewtoy-Training Make certain that an errorless housetraining and chewtoy-training program is instituted from the very first day your puppy comes home.
Number Freak: From 1 to 200- The Hidden Language of Numbers Revealed
Derrick Niederman - 2009
Includes such gems as:? There are 42 eyes in a deck of cards, and 42 dots on a pair of dice ? In order to fill in a map so that neighboring regions never get the same color, one never needs more than four colors ? Hells Angels use the number 81 in their insignia because the initials H and A are the eighth and first numbers in the alphabet respectively
Introduction to Algebra
Richard Rusczyk - 2007
Topics covered in the book include linear equations, ratios, quadratic equations, special factorizations, complex numbers, graphing linear and quadratic equations, linear and quadratic inequalities, functions, polynomials, exponents and logarithms, absolute value, sequences and series, and much more!The text is structured to inspire the reader to explore and develop new ideas. Each section starts with problems, giving the student a chance to solve them without help before proceeding. The text then includes solutions to these problems, through which algebraic techniques are taught. Important facts and powerful problem solving approaches are highlighted throughout the text. In addition to the instructional material, the book contains well over 1000 problems.This book can serve as a complete Algebra I course, and also includes many concepts covered in Algebra II. Middle school students preparing for MATHCOUNTS, high school students preparing for the AMC, and other students seeking to master the fundamentals of algebra will find this book an instrumental part of their mathematics libraries.656About the author: Richard Rusczyk is a co-author of Art of Problem Solving, Volumes 1 and 2, the author of Art of Problem Solving's Introduction to Geometry. He was a national MATHCOUNTS participant, a USA Math Olympiad winner, and is currently director of the USA Mathematical Talent Search.