well written and with a lot of interesting examples and exercise problems.yes, the terminology and framework in this book are consistent I would like to move CH3 on combinatorics to the front before talking about any distribution in CH1 and CH2. The book consists of 12 chapters, 3 appendices with tables and index. However, considering as a student, to prepare me for future coursework and work on the job, I believe this textbook leaves much out. ...The book covers all subjects that I need except the required materials on joint distributions. Although the material is nicely connected but but once can easily select to cover certain parts and skip others without creating gaps or difficulties in the students leering.
The book's relevance and longevity shouldn't be a problem. It is also appropriate for first year graduate students in any...The book covers the fundamentals of probability theory with quite a few practical engineering applications, which seems appropriate for engineering students to connect the theory to the practice. I wish the pdf file had this functionality. This book covers a little bit more than I would normally cover in a probability class (Markov chains and random walks) and omits nothing that I would normally cover. Updates will be straightforward to implement. I expect that instructors using this book would be using the material in the presented order (maybe Combinatorics first).The interface is OK. the important concepts are introduced and revisited many times and sometimes different ways! All programs used in the text have been written in TrueBASIC, Maple, and Mathematica. The examples are presented in a logical way and the writing style is not a burden.
Computer programs are mentioned throughout the examples, but there are no computer codes or programs listed anywhere.The book's grammar was fine.
Yes, the content is up-to-date and the book with adding some materials on joint distributions is good to serve as an introduction of probability for undergraduates. The material seems up-to-date and may be appealing to students with experience of Matlab to simulate various random events including the Markov chain and random walk covered in the later chapters. Lopuhaa¨ L.E.
Fortunately, the modularity of the book is good, which gives instructors the freedom to choose the flow that works best for them. Hypothesis testing is limited. Some steps and/or terms are written in the format of the paragraphs, themselves, and not set apart from the rest of the writing.The interface is decent. It is particularly well suited for those wanting to see how probability theory can be applied to the study of phenomena in fields such as engineering, computer sci - ence, management science, the physical and social sciences, and operations research.
The book can serve as an introduction of the probability theory to engineering students and it supplements the continuous and discrete signals and systems course to provide a practical perspective of signal and noise, which is important for upper level courses such as the classic control theory and communication system design.
It contains many interesting examples to demonstrate how to apply a probabilistic modeling or statistical procedure to study the real world phenomena.
This does not have a linked table of contents, which would allow direct access to the sections. Each chapter contains realistic examples that apply probability theory to basic statistical inference and naturally connect to the Monte Carlo simulations and graphical illustration of the probability distributions and probability density functions. The material has been As in, if the instructor re-orders the material, they are probably going to have to provide some of their own introduction material for each chapter.The flow tends to be a bit tedious at times.
I found no problems with the text, graphics, or other aspects. Probability: 1: C1: 1a: Introduction (PDF) 1b: Counting and Sets (PDF) Reading Questions for … With such textbook available to students for free, I do not see any reasons to force my students to purchase a different textbook. but that is not necessarily the order I would go with when i cover these topics. A lot of the symbolism comes up on you right away; you really have to take the time to understand the meaning of it.
It is very well written.No portion of this text appeared to me to be culturally insensitive or offensive in any way, shape, or form.I think that this textbook provides a great introduction to probability!
In fact, the way simulations are used to illustrate important concepts in probability and statistics The book is well organized but could be better with some changes, see my comments in Item 6 above index terms on the back could be improved with some click-through function.I do not see grammatical problem (I am not a native speaker)This is a good introduction book on probability, especially it is free to students. Not much depth in some areas. I do not find this problematic, but some may.I do not recall any grammatical errors in my reading nor did I make notes of any errors as I worked my way through the book.The book is written in an accessible way. The organization is fine. In the preface, Feller wrote about his treatment of uctuation in coin tossing: \The results are so amazing and so at variance with common intuition The text can also be used in a discrete probability course. Dekking C. Kraaikamp H.P. It just seems like a normal book. The lack of hyperlinks is somewhat troublesome.I found no grammatical errors in this textbook (but English is not my native language). You can also easily and smoothly teach or assign the history and development of the selected topics as reading s without making it as a part of the graded course!Overall, the material is presented in a smooth way!
I would probably slightly modify it.
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