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Probability: Theory, Examples, Problems, Simulations: Examples

by Lisei Hannelore

Probability through examples and simulation

Regular price $61.48 USD
Regular price $68.32 USD Sale price $61.48 USD
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Paperback New English

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AlbakiReads Editorial

Probability through examples and simulation

Lisei Hannelore’s textbook pairs probability concepts with worked examples, problems and solutions, alongside Matlab simulations of random experiments. The material connects these experiments to the probabilistic models behind them, bringing computational exploration together with mathematical treatment. The book presents theorems without proofs and provides references for further study. Its examples, detailed solutions and supplied Matlab code support work with probability techniques and applications across several fields. Readers will need a foundation in calculus to follow the mathematical material and elementary programming skills for the simulations.

Good fit for readers who enjoy

  • Undergraduate students studying mathematics, natural sciences, engineering or computer science
  • Researchers seeking an applied introduction to probability techniques
  • Readers comfortable with basic calculus and elementary Matlab programming

Themes

Probability theoryRandom experiments and simulationMathematical modelsProbability applications across disciplines

Based on publisher information and book metadata.

Book overview

A key pedagogical feature of the textbook is the accessible approach to probability concepts through examples with explanations and problems with solutions. The reader is encouraged to simulate in Matlab random experiments and to explore the theoretical aspects of the probabilistic models behind the studied experiments. By this appropriate balance between simulations and rigorous mathematical approach, the reader can experience the excitement of comprehending basic concepts and can develop the intuitive thinking in solving problems. The current textbook does not contain proofs for the stated theorems, but corresponding references are given.

Moreover, the given Matlab codes and detailed solutions make the textbook accessible to researchers and undergraduate students, by learning various techniques from probability theory and its applications in other fields. This book is intended not only for students of mathematics but also for students of natural sciences, engineering, computer science and for science researchers, who possess the basic knowledge of calculus for the mathematical concepts of the textbook and elementary programming skills for the Matlab simulations.

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