Products related to Probability:
-
Probability for Information Technology
This book introduces probabilistic modelling and explores its role in solving a broad spectrum of engineering problems that arise in Information Technology (IT).Divided into three parts, it begins by laying the foundation of basic probability concepts such as sample space, events, conditional probability, independence, total probability law and random variables.The second part delves into more advanced topics including random processes and key principles like Maximum A Posteriori (MAP) estimation, the law of large numbers and the central limit theorem.The last part applies these principles to various IT domains like communication, social networks, speech recognition, and machine learning, emphasizing the practical aspect of probability through real-world examples, case studies, and Python coding exercises. A notable feature of this book is its narrative style, seamlessly weaving together probability theories with both classical and contemporary IT applications. Each concept is reinforced with tightly-coupled exercise sets, and the associated fundamentals are explored mostly from first principles.Furthermore, it includes programming implementations of illustrative examples and algorithms, complemented by a brief Python tutorial. Departing from traditional organization, the book adopts a lecture-notes format, presenting interconnected themes and storylines.Primarily tailored for sophomore-level undergraduates, it also suits junior and senior-level courses.While readers benefit from mathematical maturity and programming exposure, supplementary materials and exercise problems aid understanding.Part III serves to inspire and provide insights for students and professionals alike, underscoring the pragmatic relevance of probabilistic concepts in IT.
Price: 64.99 £ | Shipping*: 0.00 £ -
Teaching Probability
Written by leading subject specialists, Teaching Probability is designed to support teaching concepts in probability by providing a new approach to this difficult subject from a perspective not limited by a syllabus, giving teachers both theoretical and practical knowledge of an innovative way of teaching probability.This alternative approach to teaching probability focuses on the methods that teachers can apply to help their students engage with the topic using experiments and mathematical models to solve problems, considering how to overcome common misconceptions and the way in which probability can be communicated.
Price: 23.25 £ | Shipping*: 3.99 £ -
Probability Essentials
We have made small changes throughout the book, including the exercises, and we have tried to correct if not all, then at least most of the typos.We wish to thank the many colleagues and students who have commented c- structively on the book since its publication two years ago, and in particular Professors Valentin Petrov, Esko Valkeila, Volker Priebe, and Frank Knight.Jean Jacod, Paris Philip Protter, Ithaca March, 2002 Preface to the Second Printing of the Second Edition We have bene?ted greatly from the long list of typos and small suggestions sent to us by Professor Luis Tenorio.These corrections have improved the book in subtle yet important ways, and the authors are most grateful to him.Jean Jacod, Paris Philip Protter, Ithaca January, 2004 Preface to the First Edition We present here a one semester course on Probability Theory.We also treat measure theory and Lebesgue integration, concentrating on those aspects which are especially germane to the study of Probability Theory.The book is intended to ?ll a current need: there are mathematically sophisticated s- dents and researchers (especially in Engineering, Economics, and Statistics) who need a proper grounding in Probability in order to pursue their primary interests.Many Probability texts available today are celebrations of Pr- ability Theory, containing treatments of fascinating topics to be sure, but nevertheless they make it di?cult to construct a lean one semester course that covers (what we believe) are the essential topics.
Price: 54.99 £ | Shipping*: 0.00 £ -
Smartphones, Current Events and Mobile Information Behavior : Consuming, Reacting, Sharing, and Connecting through News
Smartphones and Information on Current Events provides unprecedented insights into young people’s news consumption patterns and the ecology of mobile news.Advancing our knowledge of mobile behaviour, the book also highlights the ways in which mobile news impacts the lives of the general public.Using a multi-faceted research model on mobile news consumption behaviour, Oh and Tang examined a wide spectrum of mobile news consumption activities, outlined the key characteristics of mobile news, as well as captured users’ near real-time evaluation of and emotional reactions to news stories.The book also shows that the process of using smartphones to receive, read, find, share, and store news stories has resulted in new behavioural patterns that enable people to consume news in a multifaceted way.Analyzing the extent and various methods of mobile news sharing can, Oh and Tang argue, help us understand how such exchanges reshape contemporary society.Demonstrating that mobile news consumption is now an integral part of people’s daily lives, the book clearly shows that its impact on people’s day-to-day activities, and their political and social lives, cannot be underestimated.Smartphones and Information on Current Events will be useful to scholars, students, and practitioners who are studying library and information science, journalism and media, digital communication, user behaviour, information technology, human-computer interaction, marketing, political science, psychology, and sociology.
Price: 49.99 £ | Shipping*: 0.00 £
-
Are TV and radio stations obligated to broadcast news?
TV and radio stations are not legally obligated to broadcast news, but many choose to do so as part of their commitment to serving the public interest. In some countries, there may be regulations or licensing requirements that mandate a certain amount of news programming, but this varies by jurisdiction. Ultimately, the decision to include news in their programming is up to the individual stations and their management.
-
What is the probability of the following events?
I'm happy to help! Could you please provide me with the specific events you would like me to calculate the probability for?
-
What are events and how is their probability determined?
Events are specific outcomes or occurrences that can happen in a given situation or experiment. The probability of an event is determined by calculating the ratio of the number of favorable outcomes to the total number of possible outcomes. This can be expressed as a fraction, decimal, or percentage. The probability of an event can range from 0 (impossible) to 1 (certain), with values in between representing the likelihood of the event occurring. Probability can be determined using mathematical formulas, counting techniques, or by conducting experiments and collecting data.
-
Why are the two events not disjoint in probability theory?
The two events are not disjoint in probability theory because they have some elements in common. Disjoint events, also known as mutually exclusive events, have no outcomes in common, meaning they cannot occur simultaneously. However, in the case of the two events not being disjoint, there is a possibility of some outcomes being shared between them. This means that the occurrence of one event does not necessarily preclude the occurrence of the other event.
Similar search terms for Probability:
-
Fundamentals of Probability
Praise for the fourth edition:"This book is an excellent primer on probability ….The flow of the text aids its readability, and the book is indeed a treasure trove of set and solved problems. --Dalia Chakrabarty, Brunel University, UK"This textbook provides a thorough and rigorous treatment of fundamental probability, including both discrete and continuous cases.The book’s ample collection of exercises gives instructors and students a great deal of practice and tools to sharpen their understanding." --Joshua Stangle, University of Wisconsin – Superior, USAThis one- or two-term calculus-based basic probability text is written for majors in mathematics, physical sciences, engineering, statistics, actuarial science, business and finance, operations research, and computer science.It presents probability in a natural way: through interesting and instructive examples and exercises that motivate the theory, definitions, theorems, and methodology.This book is mathematically rigorous and, at the same time, closely matches the historical development of probability.Whenever appropriate, historical remarks are included, and the 2096 examples and exercises have been carefully designed to arouse curiosity and hence encourage students to delve into the theory with enthusiasm. New to the Fifth Edition:In this edition, a significant change has been made in the order of material presentation. The topics such as the joint probability mass function, joint probability density functions, independence of random variables, sums of random variables, the central limit theorem, and certain other materials have been covered earlier in the book, enabling students to grasp these crucial concepts from the start.These changes have considerable merit, particularly the idea of covering the celebrated central limit theorem immediately after discussing the normal distribution.Additionally, discussions on sigma fields are provided and an in-depth section on characteristic functions is added.The central limit theorem has been proven using both moment-generating functions and characteristic functions. In the present edition, numerous new figures are included that were drawn for the first time, specifically to aid in students’ understanding of the material.These fresh illustrations, along with all the previous ones in the book, have been meticulously crafted by the technical support team at CRC. Instructors who prefer the content arrangement used in previous editions can still teach the material in the same order as those editions.Moreover, the homepage of this book contains a whole chapter with comprehensive coverage on Stochastic Processes as well as additional contents for Chapters 1 to 10, such as extra examples, supplementary topics, and practical applications to facilitate in-depth exploration.Furthermore, it offers thorough solutions for all self-tests and self-quiz problems, empowering students to assess their progress and grasp of this demanding subject. In this new edition, at the end of select chapters, sections are included dedicated to exploring approximate solutions for complex probabilistic problems using simulation techniques.These simulations are conducted using the R software, a powerful tool well-suited for probabilistic simulations due to its extensive collection of built-in functions and numerous specialized libraries designed for various simulation purposes.In the homepage of the book, a chapter, titled “Algorithm-Driven Simulations,” is presented in which we delve deeply into the concept of simulation using algorithms exclusively, without being tied to any specific programming language.
Price: 115.00 £ | Shipping*: 0.00 £ -
Probability with Martingales
Probability theory is nowadays applied in a huge variety of fields including physics, engineering, biology, economics and the social sciences.This book is a modern, lively and rigorous account which has Doob's theory of martingales in discrete time as its main theme.It proves important results such as Kolmogorov's Strong Law of Large Numbers and the Three-Series Theorem by martingale techniques, and the Central Limit Theorem via the use of characteristic functions.A distinguishing feature is its determination to keep the probability flowing at a nice tempo.It achieves this by being selective rather than encyclopaedic, presenting only what is essential to understand the fundamentals; and it assumes certain key results from measure theory in the main text.These measure-theoretic results are proved in full in appendices, so that the book is completely self-contained.The book is written for students, not for researchers, and has evolved through several years of class testing.Exercises play a vital rôle. Interesting and challenging problems, some with hints, consolidate what has already been learnt, and provide motivation to discover more of the subject than can be covered in a single introduction.
Price: 39.99 £ | Shipping*: 0.00 £ -
Probability via Expectation
The third edition of 1992 constituted a major reworking of the original text, and the preface to that edition still represents my position on the issues that stimulated me first to write.The present edition contains a number of minor modifications and corrections, but its principal innovation is the addition of material on dynamic programming, optimal allocation, option pricing and large deviations.These are substantial topics, but ones into which one can gain an insight with less labour than is generally thought.They all involve the expectation concept in an essential fashion, even the treatment of option pricing, which seems initially to forswear expectation in favour of an arbitrage criterion.I am grateful to readers and to Springer-Verlag for their continuing interest in the approach taken in this work.Peter Whittle Preface to the Third Edition This book is a complete revision of the earlier work Probability which appeared in 1970.While revised so radically and incorporatingso much new material as to amount to a new text, it preserves both the aim and the approach of the original.That aim was stated as the provision of a 'first text in probability, demanding a reasonable but not extensive knowledge of mathematics, and taking the reader to what one might describe as a good intermediate level' .In doing so it attempted to break away from stereotyped applications, and consider applications of a more novel and significant character.
Price: 109.99 £ | Shipping*: 0.00 £ -
High-Probability Trading
"The Goal Is to Teach All Traders to Think with the Mindset of a Successful Trader..." While successful trading requires tremendous skill and knowledge, it begins and ends with mindset.What do exceptional traders think when they purchase a quality stock and the price immediately plummets?How do they keep one bad trade from destroying their confidence - and bankroll?What do they know that the rest of us don't? "Some trades are not worth the risk and should never be done."High Probability Trading" shows you how to trade only when the odds are in your favor.From descriptions of the software and equipment an exceptional trader needs high probability signals that either a top or bottom has been reached, it is today's most complete guidebook to thinking like an exceptional trader - every day, on every trade. "It's not how good you are at one individual thing, but it's the culmination of every aspect of trading that makes one successful."Before he became a successful trader, Marcel Link spent years wading from one system to the next, using trial and error to figure out what worked, what didn't, and why. In "High Probability Trading", Link reveals the steps he took to become a consistent, patient, and winning trader - by learning what to watch for, what to watch out for, and what to do to make each trade a high probability trade. "Why do a select few traders repeatedly make money while the masses lose?What do bad traders do that good traders avoid, and what do winning traders do that is different?Throughout this book I will detail how successful traders behave differently and consistently make money by making high probability trades and avoiding common pitfalls..." - From the preface.Within 6 months of beginning their careers full of promise and hope, most traders are literally out of money and out of trading. "High Probability Trading" reduces the likelihood that you will have to pay this "traders' tuition," by detailing a market-proven program for weathering those first few months and becoming a profitable trader from the beginning.Combining a uniquely blunt look at the realities of trading with examples, charts, and case studies detailing actual hits and misses of both short- and long-term traders, this straightforward guidebook discusses: the 10 consistent attributes of a successful trader, and how to make them work for you; strategies for controlling emotions in the heat of trading battle; technical analysis methods for identifying trends, breakouts, reversals, and more; market-tested signals for consistently improving the timing of entry and exit points; how to "trade the news" - and understand when the market has already discounted it; and learning how to get out of a bad trade before it can hurt you. The best traders enter the markets only when the odds are in their favor. "High Probability Trading" shows you how to know the difference between low and high probability situations, and only trade the latter.It goes far beyond simply pointing out the weaknesses and blind spots that hinder most traders to explaining how those defects can be understood, overcome, and turned to each trader's advantage.While it is a cliche, it is also true that there are no bad traders, only bad trades.Let "High Probability Trading" show you how to weed the bad trades from your trading day by helping you see them before they occur.Packed with charts, trading tips, and questions traders should be asking themselves, plus real examples of traders in every market situation, this powerful book will first give you the knowledge and tools you need to tame the markets and then show you how to meld them seamlessly into a customized trading program - one that will help you join the ranks of elite traders and increase your probability of success on every trade.
Price: 33.99 £ | Shipping*: 0.00 £
-
Why are the two events in probability theory not disjoint?
The two events in probability theory are not disjoint because they can have outcomes that overlap or have elements in common. Disjoint events, also known as mutually exclusive events, have no outcomes in common and cannot occur simultaneously. However, in the case of non-disjoint events, there is a possibility of shared outcomes or elements, allowing both events to occur at the same time. This distinction is important in probability theory as it affects the calculation of probabilities and the understanding of the relationship between different events.
-
What is the probability of two events occurring in statistics?
In statistics, the probability of two events occurring is calculated using the concept of joint probability. The joint probability of two events A and B occurring is denoted as P(A and B) and is calculated by multiplying the probability of event A (P(A)) by the probability of event B given that event A has occurred (P(B|A)). Mathematically, it can be expressed as P(A and B) = P(A) * P(B|A). This calculation allows us to determine the likelihood of both events happening simultaneously.
-
What distinguishes conditional probability from independent probability?
Conditional probability is the probability of an event occurring given that another event has already occurred. It takes into account the information about the occurrence of one event when calculating the probability of another event. Independent probability, on the other hand, is the probability of one event occurring without any influence from the occurrence of another event. In other words, conditional probability is influenced by the occurrence of a specific event, while independent probability is not influenced by any other event.
-
Can current events from the news be included in a term paper?
Yes, current events from the news can be included in a term paper to provide relevant and up-to-date information. Incorporating recent events can help to make the paper more engaging and demonstrate the real-world application of the topic being discussed. However, it is important to ensure that the sources are credible and reliable, and to properly cite any information taken from the news.
* All prices are inclusive of VAT and, if applicable, plus shipping costs. The offer information is based on the details provided by the respective shop and is updated through automated processes. Real-time updates do not occur, so deviations can occur in individual cases.