Introduction To Probability And Statistics For Science Engineering And Finance
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Introduction To Probability And Statistics For Science Engineering And Finance
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Author : Walter A. Rosenkrantz
language : en
Publisher: CRC Press
Release Date : 2008-07-10
Introduction To Probability And Statistics For Science Engineering And Finance written by Walter A. Rosenkrantz and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-07-10 with Mathematics categories.
Integrating interesting and widely used concepts of financial engineering into traditional statistics courses, Introduction to Probability and Statistics for Science, Engineering, and Finance illustrates the role and scope of statistics and probability in various fields. The text first introduces the basics needed to understand and create
Probability And Statistics Made Easy
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date :
Probability And Statistics Made Easy written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.
Embark on a journey through the captivating world of probability and statistics with this comprehensive and accessible introduction. Delve into the fundamentals of probability theory, including sample spaces, events, axioms of probability, conditional probability, and Bayes' theorem, gaining a deep understanding of how random phenomena behave and how to make predictions based on limited information. Discover the world of random variables, exploring probability mass functions and probability density functions, which describe the distribution of random variables. Learn about expected value, variance, and other crucial characteristics of random variables, unlocking insights into the behavior of uncertain quantities. Master the art of statistical inference, employing data to draw informed conclusions about a larger population. Explore point estimation, interval estimation, hypothesis testing, and goodness-of-fit tests, enabling you to make reliable decisions based on sample data and assess the validity of your findings. Delve into the realm of regression analysis, a powerful tool for modeling and comprehending the relationship between variables. Investigate simple linear regression, multiple linear regression, logistic regression, model selection, and residual analysis, empowering you to uncover hidden patterns and make accurate predictions. Venture into the fascinating domain of time series analysis, delving into the study of data collected over time. Learn about stationarity, ergodicity, ARIMA models, forecasting, spectral analysis, and the diverse applications of time series analysis, enabling you to analyze and predict trends and patterns in dynamic data. Conclude your journey by exploring advanced topics in probability and statistics, including non-parametric statistics, decision theory, game theory, information theory, and statistical learning. Discover the cutting-edge research and wide-ranging applications of these specialized areas, expanding your understanding of probability and statistics and preparing you for further exploration in these dynamic fields. If you like this book, write a review!
Wolfram Language Tutorial
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Author : Rashmi Shankar
language : en
Publisher: Benjamin Bautista
Release Date : 2024-05-30
Wolfram Language Tutorial written by Rashmi Shankar and has been published by Benjamin Bautista this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-30 with Computers categories.
Unlock the power of computational thinking with "Wolfram Language Tutorial: Step by Step Beginner’s Guidebook." This comprehensive guide is your gateway to mastering the Wolfram Language, one of the most powerful and versatile programming languages used by scientists, engineers, and innovators worldwide. Whether you're a complete beginner or have some programming experience, this book is designed to take you from novice to proficient, providing you with the skills and knowledge to harness the full potential of the Wolfram Language. Through clear explanations, practical examples, and hands-on exercises, you'll quickly learn to navigate and utilize this sophisticated tool for a variety of applications. Inside "Wolfram Language Tutorial," you'll discover: Fundamentals of Wolfram Language: Gain a solid foundation with step-by-step instructions on the basic concepts and syntax. Practical Applications: Explore real-world examples and projects that demonstrate how to apply the Wolfram Language to solve complex problems in science, engineering, data analysis, and more. Interactive Learning: Engage with interactive exercises and coding challenges that reinforce your understanding and help you build confidence in your skills. Advanced Features: Delve into more advanced topics, including machine learning, image processing, and computational geometry, to expand your capabilities. Comprehensive Resources: Access a wealth of additional resources, including online tutorials, documentation, and community forums to continue your learning journey. Written by an expert in the field, this guidebook offers a friendly and accessible approach to learning, ensuring that you can follow along at your own pace and achieve mastery in no time. Whether you aim to enhance your career, pursue academic research, or simply explore the possibilities of computational thinking, "Wolfram Language Tutorial" is your ultimate companion. Invest in your future and open the door to endless possibilities with "Wolfram Language Tutorial: Step by Step Beginner’s Guidebook." Empower yourself with the skills to innovate, analyze, and solve problems like never before. Don't miss out on this essential resource – start your journey today and discover the transformative power of the Wolfram Language.
Proceedings Of The 2022 International Conference On Educational Innovation And Multimedia Technology Eimt 2022
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Author : Chew Fong Peng
language : en
Publisher: Springer Nature
Release Date : 2023-02-10
Proceedings Of The 2022 International Conference On Educational Innovation And Multimedia Technology Eimt 2022 written by Chew Fong Peng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-10 with Education categories.
This is an open access book. As a leading role in the global megatrend of scientific innovation, China has been creating a more and more open environment for scientific innovation, increasing the depth and breadth of academic cooperation, and building a community of innovation that benefits all. These endeavors have made new contribution to globalization and creating a community of shared future. 2022 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022) was held on March 25-27, 2022 in Hangzhou, China (Due to the epidemic, the meeting was moved to online). The aim of the conference is to bring together innovative academics and industrial experts in the field of Educational Innovation and Multimedia Technology to a common forum. The primary goal of the conference is to promote research and developmental activities in the related field.
Financial And Actuarial Statistics
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Author : Dale S. Borowiak
language : en
Publisher: CRC Press
Release Date : 2013-11-12
Financial And Actuarial Statistics written by Dale S. Borowiak and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-12 with Mathematics categories.
Understand Up-to-Date Statistical Techniques for Financial and Actuarial Applications Since the first edition was published, statistical techniques, such as reliability measurement, simulation, regression, and Markov chain modeling, have become more prominent in the financial and actuarial industries. Consequently, practitioners and students must acquire strong mathematical and statistical backgrounds in order to have successful careers. Financial and Actuarial Statistics: An Introduction, Second Edition enables readers to obtain the necessary mathematical and statistical background. It also advances the application and theory of statistics in modern financial and actuarial modeling. Like its predecessor, this second edition considers financial and actuarial modeling from a statistical point of view while adding a substantial amount of new material. New to the Second Edition Nomenclature and notations standard to the actuarial field Excel exercises with solutions, which demonstrate how to use Excel functions for statistical and actuarial computations Problems dealing with standard probability and statistics theory, along with detailed equation links A chapter on Markov chains and actuarial applications Expanded discussions of simulation techniques and applications, such as investment pricing Sections on the maximum likelihood approach to parameter estimation as well as asymptotic applications Discussions of diagnostic procedures for nonnegative random variables and Pareto, lognormal, Weibull, and left truncated distributions Expanded material on surplus models and ruin computations Discussions of nonparametric prediction intervals, option pricing diagnostics, variance of the loss function associated with standard actuarial models, and Gompertz and Makeham distributions Sections on the concept of actuarial statistics for a collection of stochastic status models The book presents a unified approach to both financial and actuarial modeling through the use of general status structures. The authors define future time-dependent financial actions in terms of a status structure that may be either deterministic or stochastic. They show how deterministic status structures lead to classical interest and annuity models, investment pricing models, and aggregate claim models. They also employ stochastic status structures to develop financial and actuarial models, such as surplus models, life insurance, and life annuity models.
Nonparametric Statistics With Applications To Science And Engineering
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Author : Paul H. Kvam
language : en
Publisher: John Wiley & Sons
Release Date : 2007-08-24
Nonparametric Statistics With Applications To Science And Engineering written by Paul H. Kvam and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-24 with Mathematics categories.
A thorough and definitive book that fully addresses traditional and modern-day topics of nonparametric statistics This book presents a practical approach to nonparametric statistical analysis and provides comprehensive coverage of both established and newly developed methods. With the use of MATLAB, the authors present information on theorems and rank tests in an applied fashion, with an emphasis on modern methods in regression and curve fitting, bootstrap confidence intervals, splines, wavelets, empirical likelihood, and goodness-of-fit testing. Nonparametric Statistics with Applications to Science and Engineering begins with succinct coverage of basic results for order statistics, methods of categorical data analysis, nonparametric regression, and curve fitting methods. The authors then focus on nonparametric procedures that are becoming more relevant to engineering researchers and practitioners. The important fundamental materials needed to effectively learn and apply the discussed methods are also provided throughout the book. Complete with exercise sets, chapter reviews, and a related Web site that features downloadable MATLAB applications, this book is an essential textbook for graduate courses in engineering and the physical sciences and also serves as a valuable reference for researchers who seek a more comprehensive understanding of modern nonparametric statistical methods.
Stochastic Processes
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Author : Peter Watts Jones
language : en
Publisher: CRC Press
Release Date : 2017-10-30
Stochastic Processes written by Peter Watts Jones and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-30 with Mathematics categories.
Based on a well-established and popular course taught by the authors over many years, Stochastic Processes: An Introduction, Third Edition, discusses the modelling and analysis of random experiments, where processes evolve over time. The text begins with a review of relevant fundamental probability. It then covers gambling problems, random walks, and Markov chains. The authors go on to discuss random processes continuous in time, including Poisson, birth and death processes, and general population models, and present an extended discussion on the analysis of associated stationary processes in queues. The book also explores reliability and other random processes, such as branching, martingales, and simple epidemics. A new chapter describing Brownian motion, where the outcomes are continuously observed over continuous time, is included. Further applications, worked examples and problems, and biographical details have been added to this edition. Much of the text has been reworked. The appendix contains key results in probability for reference. This concise, updated book makes the material accessible, highlighting simple applications and examples. A solutions manual with fully worked answers of all end-of-chapter problems, and Mathematica® and R programs illustrating many processes discussed in the book, can be downloaded from crcpress.com.
Statistics And Data Analysis For Financial Engineering
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Author : David Ruppert
language : en
Publisher: Springer
Release Date : 2015-04-21
Statistics And Data Analysis For Financial Engineering written by David Ruppert and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-21 with Business & Economics categories.
The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, R Labs with real-data exercises, and graphical and analytic methods for modeling and diagnosing modeling errors. These methods are critical because financial engineers now have access to enormous quantities of data. To make use of this data, the powerful methods in this book for working with quantitative information, particularly about volatility and risks, are essential. Strengths of this fully-revised edition include major additions to the R code and the advanced topics covered. Individual chapters cover, among other topics, multivariate distributions, copulas, Bayesian computations, risk management, and cointegration. Suggested prerequisites are basic knowledge of statistics and probability, matrices and linear algebra, and calculus. There is an appendix on probability, statistics and linear algebra. Practicing financial engineers will also find this book of interest.
Choice
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Author :
language : en
Publisher:
Release Date : 2008
Choice written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Academic libraries categories.
Comprehensive Guide To Statistics
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Author : Mohit Chatterjee
language : en
Publisher: Educohack Press
Release Date : 2025-02-20
Comprehensive Guide To Statistics written by Mohit Chatterjee and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Science categories.
This comprehensive textbook offers an in-depth exploration of various topics in statistics, ranging from probability theory and statistical inference to machine learning and data analysis. It balances theoretical rigor and practical applications, catering to both undergraduate and graduate students, as well as professionals in the field of statistics and related disciplines. The book begins with foundational concepts in probability theory, covering random variables, probability distributions, and expectation. It then delves into statistical inference, discussing estimation, hypothesis testing, and regression analysis. Advanced topics like Bayesian statistics, machine learning algorithms, and resampling methods are also explored. Key strengths of this textbook include clear and concise explanations, numerous examples, and exercises to reinforce learning. The accessible yet rigorous writing style makes complex concepts understandable to readers at various levels of expertise. Modern computational tools and techniques are incorporated, emphasizing practical aspects of statistical analysis in the era of big data. Readers are encouraged to apply their knowledge using software packages like R and Python, enhancing their skills in data analysis and interpretation. This comprehensive and authoritative textbook covers a wide range of topics in statistics, making it an indispensable resource for students, researchers, and practitioners alike. It provides a solid foundation in statistical theory and its real-world applications.