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Probability and Statistics with Reliability, Queuing, and Computer Science Applications

An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications This;

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Probability and Statistics with Reliability, Queuing and Computer Science Applications

An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications This;

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Probability and Information

Introduces probability and its applications to beginning students in mathematics, statistics or computer science.;

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Probability and Statistics for Engineers and Scientists

For junior/senior undergraduates taking probability and statistics as it applied to engineering, science or computer science. With its;

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Probability and Statistics for Computer Science

Comprehensive and thorough development of both probability and statistics for serious computer scientists; goal-oriented: to present the;

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Probability And Statistics For Computer Science

Comprehensive and thorough development of both probability and statistics for serious computer scientists; goal-oriented: to present the;

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Probability & Statistics for Engineers & Scientists, Global Edition

For junior/senior undergraduates taking probability and statistics as applied to engineering, science, or computer science. This;

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Probability Distributions of a Single Random Variable

the basic statistical techniques required by students of Engineering, Computer Science, Business Studies and Medicine for the statistical work;

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Probability and Statistics for Computer Scientists

advanced undergraduate or graduate course. ---Computing Reviews Probability and Statistics for Computer Scientists, Third Edition helps;

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Fundamentals Of Probability

, Operations Research, and Computer Science. Probability is presented in a very clear way in this text: through interesting and instructive examples;

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Basic Probability

, statistics and data science, engineering, computer science, and business analytics. The book is written for those learning about probability for the;

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Probability And Statistics For Engineers And Scientists

For junior/senior undergraduates taking probability and statistics as applied to engineering, science, or computer science. This classic;

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First Course In Probability And Statistics, A

not to apply it. Keeping this in view, we try to explain the basic concepts of probability and statistics for students with an understanding;

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First Course In Probability And Statistics, A

not to apply it. Keeping this in view, we try to explain the basic concepts of probability and statistics for students with an understanding;

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Probability and Statistics for Science and Engineering with Examples in R

Probability and Statistics for Science and Engineering with Examples in R teaches students how to use R software to obtain summary;

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Algebraic Statistics

factorial designs. The work paves the way, in the last two chapters, for the application of computer algebra to discrete probability and statistical;

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The Finite and Discrete Mathematics

An essential subject for students in mathematics, computer science, and engineering. Covers logic, set theory, vectors, graph theory;

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All of Statistics

range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and;

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All of Statistics

range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and;

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Probability and Statistical Inference

For a one/two-semester, junior/senior-level course in Math Stat and/or calculus based Probability and Statistics. This applied introduction;

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Miller & Freund's Probability and Statistics for Engineers, Global Edition

For an introductory or one or two semester courses in Probability and Statistics or Applied Statistics for engineering, physical science;

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Statistics for Data Scientists

This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science;

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Ten Great Ideas about Chance

, gamblers and mathematicians transformed the idea of chance from a mystery into the discipline of probability, setting the stage for a series;

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Statistical Foundations, Reasoning and Inference

for a two-semester course and is intended for master's students in data science, statistics and computer science with a rudimentary grasp;

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Introduction to Applied Probability and Statistical Theory

Statistic: A Concise Mathematical Introduction for Students and Scientists offers a one academic term text that prepares the student to;

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Statistics in MATLAB

of MATLAB and its extensive functionality for statistics. Assuming a basic knowledge of statistics and probability as well as a fundamental;

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Geometric Modeling in Probability and Statistics

of differential geometry and probability theory, and constitutes a text for a course directed at graduate or advanced undergraduate students interested;

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