A First Course in Probability

Author: Tapas K. Chandra,Dipak Chatterjee
Publisher: CRC Press
ISBN: 9780849309434
Category: Mathematics
Page: 467
View: 6441
The advancement of science in the twentieth century is marked by a special feature -- its transition from deterministic phenomena to probabilistic phenomena. For this reason the probability theory is introduced at the earliest possible level of any academic pursuit. Written at an introductory level, A First Course in Probability takes an intuitive approach to proving the ethereal existence of probability, developing the subject step-by-step to show the accessibility of probability theory. The authors provide hundreds of problems from almost all spheres of life to demonstrate how probability plays a decisive role. Numerous routine and simple examples are solved throughout the text to demonstrate various techniques of solving practical problems. The more difficult problems are solved at the end of each chapter under the heading, "Miscellaneous Examples," and these are useful in solving problems in different competitive examinations. Easy to understand and up-to-date, the text incorporates all the fundamental results while bringing forth the latest results. Some topics that can be avoided in the first reading are star-marked in the text.

A First Course in Probability and Statistics

Author: B. L. S. Prakasa Rao
Publisher: World Scientific
ISBN: 9812836535
Category: Mathematics
Page: 317
View: 5651
This book provides a clear exposition of the theory of probability along with applications in statistics.

A First Course in Probability

Author: Sheldon Ross
Publisher: N.A
ISBN: 9780134753119
Category: Probabilities
Page: 528
View: 6801
For upper-level to graduate courses in Probability or Probability and Statistics, for majors in mathematics, statistics, engineering, and the sciences. Explores both the mathematics and the many potential applications of probability theory A First Course in Probability is an elementary introduction to the theory of probability for students in mathematics, statistics, engineering, and the sciences. Through clear and intuitive explanations, it presents not only the mathematics of probability theory, but also the many diverse possible applications of this subject through numerous examples. The 10th Edition includes many new and updated problems, exercises, and text material chosen both for interest level and for use in building student intuition about probability. 0134753119 / 9780134753119 A First Course in Probability, 10/e

A first course in probability

Author: Sheldon M. Ross
Publisher: Macmillan College
Category: Mathematics
Page: 422
View: 6336

First Course in Probability, A: Pearson New International Edition

Author: Sheldon Ross
Publisher: Pearson Higher Ed
ISBN: 1292037563
Category: Mathematics
Page: 464
View: 546
A First Course in Probability, Ninth Edition, features clear and intuitive explanations of the mathematics of probability theory, outstanding problem sets, and a variety of diverse examples and applications. This book is ideal for an upper-level undergraduate or graduate level introduction to probability for math, science, engineering and business students. It assumes a background in elementary calculus.

A First Course in Probability and Markov Chains

Author: Giuseppe Modica,Laura Poggiolini
Publisher: John Wiley & Sons
ISBN: 111847774X
Category: Mathematics
Page: 352
View: 2607
Provides an introduction to basic structures of probability with a view towards applications in information technology A First Course in Probability and Markov Chains presents an introduction to the basic elements in probability and focuses on two main areas. The first part explores notions and structures in probability, including combinatorics, probability measures, probability distributions, conditional probability, inclusion-exclusion formulas, random variables, dispersion indexes, independent random variables as well as weak and strong laws of large numbers and central limit theorem. In the second part of the book, focus is given to Discrete Time Discrete Markov Chains which is addressed together with an introduction to Poisson processes and Continuous Time Discrete Markov Chains. This book also looks at making use of measure theory notations that unify all the presentation, in particular avoiding the separate treatment of continuous and discrete distributions. A First Course in Probability and Markov Chains: Presents the basic elements of probability. Explores elementary probability with combinatorics, uniform probability, the inclusion-exclusion principle, independence and convergence of random variables. Features applications of Law of Large Numbers. Introduces Bernoulli and Poisson processes as well as discrete and continuous time Markov Chains with discrete states. Includes illustrations and examples throughout, along with solutions to problems featured in this book. The authors present a unified and comprehensive overview of probability and Markov Chains aimed at educating engineers working with probability and statistics as well as advanced undergraduate students in sciences and engineering with a basic background in mathematical analysis and linear algebra.

Probability Theory

A First Course in Probability Theory and Statistics
Author: Werner Linde
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110466198
Category: Mathematics
Page: 409
View: 5739
This book is intended as an introduction to Probability Theory and Mathematical Statistics for students in mathematics, the physical sciences, engineering, and related fields. It is based on the author’s 25 years of experience teaching probability and is squarely aimed at helping students overcome common difficulties in learning the subject. The focus of the book is an explanation of the theory, mainly by the use of many examples. Whenever possible, proofs of stated results are provided. All sections conclude with a short list of problems. The book also includes several optional sections on more advanced topics. This textbook would be ideal for use in a first course in Probability Theory. Contents: Probabilities Conditional Probabilities and Independence Random Variables and Their Distribution Operations on Random Variables Expected Value, Variance, and Covariance Normally Distributed Random Vectors Limit Theorems Mathematical Statistics Appendix Bibliography Index

First Course in Probability

Author: A. K. Sharma
Publisher: Discovery Publishing House
ISBN: 9788183564502
Category: Combinatorial probabilities
Page: 296
View: 2675

A First Course in Probability

Author: CTI Reviews
Publisher: Cram101 Textbook Reviews
ISBN: 1619067455
Category: Education
Page: 20
View: 9579
Facts101 is your complete guide to A First Course in Probability. In this book, you will learn topics such as Conditional Probability and Independence, Random Variables, Continuous Random Variables, and Jointly Distributed Random Variables plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.

A First Course in Probability Models and Statistical Inference

Author: James H.C. Creighton
Publisher: Springer Science & Business Media
ISBN: 1441985409
Category: Mathematics
Page: 719
View: 8381
Welcome to new territory: A course in probability models and statistical inference. The concept of probability is not new to you of course. You've encountered it since childhood in games of chance-card games, for example, or games with dice or coins. And you know about the "90% chance of rain" from weather reports. But once you get beyond simple expressions of probability into more subtle analysis, it's new territory. And very foreign territory it is. You must have encountered reports of statistical results in voter sur veys, opinion polls, and other such studies, but how are conclusions from those studies obtained? How can you interview just a few voters the day before an election and still determine fairly closely how HUN DREDS of THOUSANDS of voters will vote? That's statistics. You'll find it very interesting during this first course to see how a properly designed statistical study can achieve so much knowledge from such drastically incomplete information. It really is possible-statistics works! But HOW does it work? By the end of this course you'll have understood that and much more. Welcome to the enchanted forest.

Fundamentals of Probability: A First Course

Author: Anirban DasGupta
Publisher: Springer Science & Business Media
ISBN: 1441957804
Category: Mathematics
Page: 450
View: 7075
Probability theory is one branch of mathematics that is simultaneously deep and immediately applicable in diverse areas of human endeavor. It is as fundamental as calculus. Calculus explains the external world, and probability theory helps predict a lot of it. In addition, problems in probability theory have an innate appeal, and the answers are often structured and strikingly beautiful. A solid background in probability theory and probability models will become increasingly more useful in the twenty-?rst century, as dif?cult new problems emerge, that will require more sophisticated models and analysis. Thisisa text onthe fundamentalsof thetheoryofprobabilityat anundergraduate or ?rst-year graduate level for students in science, engineering,and economics. The only mathematical background required is knowledge of univariate and multiva- ate calculus and basic linear algebra. The book covers all of the standard topics in basic probability, such as combinatorial probability, discrete and continuous distributions, moment generating functions, fundamental probability inequalities, the central limit theorem, and joint and conditional distributions of discrete and continuous random variables. But it also has some unique features and a forwa- looking feel.

Probability and random processes

a first course with applications
Author: A. Bruce Clarke,Ralph L. Disney
Publisher: Wiley
Category: Mathematics
Page: 324
View: 4084
A comprehensive textbook for undergraduate courses in introductory probability. Offers a case study approach, with examples from engineering and the social and life sciences. Updated second edition includes advanced material on stochastic processes. Suitable for junior and senior level courses in industrial engineering, mathematics, business, biology, and social science departments.

A First Course in Stochastic Models

Author: H. C. Tijms
Publisher: John Wiley & Sons
ISBN: 9780471498803
Category: Mathematics
Page: 478
View: 2773
The book is intended as a first introduction to stochastic models for students in computer science, engineering, statistics and operations research.

Introduction to Probability Models

Author: Sheldon M. Ross
Publisher: Academic Press
ISBN: 0124081215
Category: Mathematics
Page: 784
View: 9141
Introduction to Probability Models, Eleventh Edition is the latest version of Sheldon Ross's classic bestseller, used extensively by professionals and as the primary text for a first undergraduate course in applied probability. The book introduces the reader to elementary probability theory and stochastic processes, and shows how probability theory can be applied fields such as engineering, computer science, management science, the physical and social sciences, and operations research. The hallmark features of this text have been retained in this eleventh edition: superior writing style; excellent exercises and examples covering the wide breadth of coverage of probability topic; and real-world applications in engineering, science, business and economics. The 65% new chapter material includes coverage of finite capacity queues, insurance risk models, and Markov chains, as well as updated data. The book contains compulsory material for new Exam 3 of the Society of Actuaries including several sections in the new exams. It also presents new applications of probability models in biology and new material on Point Processes, including the Hawkes process. There is a list of commonly used notations and equations, along with an instructor's solutions manual. This text will be a helpful resource for professionals and students in actuarial science, engineering, operations research, and other fields in applied probability. Updated data, and a list of commonly used notations and equations, instructor's solutions manual Offers new applications of probability models in biology and new material on Point Processes, including the Hawkes process Introduces elementary probability theory and stochastic processes, and shows how probability theory can be applied in fields such as engineering, computer science, management science, the physical and social sciences, and operations research Covers finite capacity queues, insurance risk models, and Markov chains Contains compulsory material for new Exam 3 of the Society of Actuaries including several sections in the new exams Appropriate for a full year course, this book is written under the assumption that students are familiar with calculus

What if? Was wäre wenn?

Wirklich wissenschaftliche Antworten auf absurde hypothetische Fragen
Author: Randall Munroe
Publisher: Albrecht Knaus Verlag
ISBN: 364114311X
Category: Nature
Page: 368
View: 7940
Endlich erfindet wieder jemand das Pop-Science-Erklärbuch neu! Wenn xkcd.com einen neuen Science Cartoon postet, vibriert das Internet. Sein Blog What if, auf dem der Physiker Randall Munroe jede Woche scheinbar unsinnige Fragen mit exakter Wissenschaft und genialen Strichmännchen beantwortet, ist Kult. Wie lange würde es dauern, bis wir merken würden, dass sich der Erdumfang verändert? Was wäre, wenn der gesamte Niederschlag in einem – quasi omnidirektionalen - Überschall-Regentropfen fiele? Endlich auch als Buch und endlich auf Deutsch!