Probability and Statistics for Computer Scientists (Baron Michael)(Pevná vazba)

Probability and Statistics for Computer Scientists (Baron Michael)(Pevná vazba)

Praise for the Second Edition: 'The author has done his homework on the statistical tools needed for the particular challenges computer scientists encounter... [He] has taken great care to select examples that are interesting and practical for computer scientists. ... The content is illustrated

Biocalculus: Calculus, Probability, and Statistics for the Life Sciences (Stewart James)(Pevná vazba)

BIOCALCULUS: CALCULUS, PROBABILITY, AND STATISTICS FOR THE LIFE SCIENCES shows students how calculus relates to biology, with a style that maintains rigor without being overly formal. The text motivates and illustrates the topics of calculus with examples drawn from many areas of biology, including

Probability & Statistics for Engineers & Scientists, Global Edition (Walpole Ronald)(Paperback / softback)

Primer for Data Analytics and Graduate Study in Statistics (Wolfe Douglas)(Pevná vazba)

- Introduction. - Basic Probability. - Random Variables and Probability Distributions. - General Properties of Random Variables. - Joint Probability Distributions for Two Random Variables. - Probability Distribution of a Function of a Single Random Variable. - Sampling Distributions. - Asymptotic

Introduction to Probability, Second Edition (Blitzstein Joseph K.)(Pevná vazba)

Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and toolsfor understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google

Statistics 101: From Data Analysis and Predictive Modeling to Measuring Distribution and Determining Probability, Your Essential Guide (Borman David)(Pevná vazba)

Student's Solutions Guide for Introduction to Probability, Statistics, and Random Processes (Pishro-Nik Hossein)(Paperback)

Since the 2014 publication of Introduction to Probability, Statistics, and Random Processes, many have requested the distribution of solutions to the problems in the textbook. This book contains guided solutions to the odd-numbered end-of-chapter problems found in the companion textbook. Student's

Statistics and the Evaluation of Evidence for Forensic Scientists (Taroni Franco)(Pevná vazba)

The leading resource in the statistical evaluation and interpretation of forensic evidence The third edition of Statistics and the Evaluation of Evidence for Forensic Scientists is fully updated to provide the latest research and developments in the use of statistical techniques to evaluate and

Miller & Freund's Probability and Statistics for Engineers, Global Edition (Johnson Richard)(Paperback / softback)

Law for Computer Scientists and Other Folk (Hildebrandt Mireille)(Paperback)

This is the first textbook introducing law to computer scientists. The book covers privacy and data protection law, cybercrime, intellectual property, private law liability and legal personhood and legal agency, next to introductions to private law, public law, criminal law and international and

Advanced Statistics for the Behavioral Sciences: A Computational Approach with R (Brown Jonathon D.)(Pevná vazba)

Teaches core subjects students need to both understand and perform computer-generated statistical analyses2. Builds on Brown's earlier book on common statistical analyses, Linear Models in Matrix Form​ (Springer, 2014)3. Utilizes R as standard tool for algebraic calculations

Schaum's Outline of Introduction to Probability and Statistics (Lipschutz Seymour)(Paperback)

The ideal review for your intro to probability course More than 40 million students have trusted Schaum's Outlines for their expert knowledge and helpful solved problems. Written by renowned experts in their respective fields, Schaum's Outlines cover everything from math to science, nursing to

Statistical Inference (Casella George)(Pevná vazba)

This book builds theoretical statistics from the first principles of probability theory. 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

Equine Behavior: A Guide for Veterinarians and Equine Scientists (McGreevy Paul)(Pevná vazba)

Equine Behavior: A Guide for Veterinarians and Equine Scientists is written for all those who really want to know what makes horses tick. Behavioral problems in the stable and under saddle are of concern to equine veterinarians worldwide because they lead to welfare issues, abuse and ultimately

Domestic Animal Behavior for Veterinarians and Animal Scientists (Houpt Katherine A.)(Pevná vazba)

Domestic Animal Behavior for Veterinarians and Animal Scientists, Sixth Edition is a fully updated revision of this popular, classic text offering a thorough understanding of the normal behavior of domestic animals. Provides a complete understanding of the normal behavior of domestic animals

Physics for Scientists and Engineers (Serway Raymond A.)(Pevná vazba)

Maximize your course success by making the most of what Serway/Jewett's PHYSICS FOR SCIENTISTS AND ENGINEERS, Tenth Edition, has to offer. From a host of in-text features to a range of outstanding technology resources, you'll have everything you need to understand the natural forces and principles

Quantum Computing for Computer Scientists (Yanofsky Noson S.)(Pevná vazba)

The multidisciplinary field of quantum computing strives to exploit some of the uncanny aspects of quantum mechanics to expand our computational horizons. Quantum Computing for Computer Scientists takes readers on a tour of this fascinating area of cutting-edge research. Written in an accessible

Bayesian Statistics for Experimental Scientists: A General Introduction Using Distribution-Free Methods (Chechile Richard A.)(Pevná vazba)

An introduction to the Bayesian approach to statistical inference that demonstrates its superiority to orthodox frequentist statistical analysis.This book offers an introduction to the Bayesian approach to statistical inference, with a focus on nonparametric and distribution-free methods. It covers

Housing Statistics of the United States, 2012 (Hertz-Hattis Shana)(Pevná vazba)

Housing Statistics is the most comprehensive source for current and historical statistics on households, housing, and housing finance. Numerous easy-to-use tables provide data on a wide range of housing topics, including: household and housing unit characteristics; prices, rents, and affordability;

Statistics for Business and Economics, Student Value Edition Plus Mylab Statistics with Pearson Etext -- Access Card Package (Newbold Paul)(Pevná vazba)

Mathematics for Computer Science (Lehman Eric)(Pevná vazba)

This book covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods. Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer

Physics for Scientists and Engineers with Modern Physics (Serway Raymond A.)(Pevná vazba)

Maximize your course success by making the most of what Serway/Jewett's PHYSICS FOR SCIENTISTS AND ENGINEERS WITH MODERN PHYSICS, Tenth Edition, has to offer. From a host of in-text features to a range of outstanding technology resources, you'll have everything you need to understand the natural

Computer Vision for Structural Dynamics and Health Monitoring (Feng Dongming)(Pevná vazba)

Introductory Probability and Statistics: Applications for Forestry and Natural Sciences (Kozak Robert A.)(Paperback)

All students, practitioners and researchers in forestry and related disciplines need a good grounding in statistics and probability. This need is increasing as techniques for gathering and analyzing large amounts of data are becoming commonplace. This special revised edition of this unique textbook