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It is a large text with enough material for a senior level sequence in mathematical statistics, or a more advanced graduate sequence in mathematical statistics. Most books on algebra are pretty much alike. This is a four-star book out of four stars. The Physics of Atoms and Quanta: How to Ace the Rest of Calculus:

They are comprehensive, authoritative, brilliant. The book by Kendall and Ord is fairly complete in its survey of methods. Fuzzy methods are trivial if you have knowledge of probability and logic.

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Afternotes on Numerical Analysis. Also, it does not give pseudo-code for algorithms. If you liked the first text you want this: Without using a single formula it does a much better job of telling the layman what statistics is about than does the usual introductory text. Exposing the Hien Patterns of Numbers. Rudiments of Quantum Physics.

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An Introduction to the Theory of Numbers , 5 th ed. Half or more of all questions are stupid. Elementary and a quick read. Codes, Ciphers, and Discrete Algorithms. Despite the title, it is very much a book on Galois Theory. Add to library 4 Discussion 3 Browse more Romance Fanfiction.

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A reference that I expect to sell very well to a wide audience: I strongly recommend it. Banchoff, Thomas, and John Wermer. The book by Danielson is more application oriented. Starting with matrix theory it covers quite a bit of ground and is beautifully done. She violated her probation and was charged with criminal mischief and petty theft.

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A Course in Galois Theory. Hopcroft, and Jeffrey D. Linear Algebra Done Right. Another succinct book similar to Artin's in every way is Postnikov, M. A particularly fine first book, if still in print, is Henle, James M. Introduction to Special Relativity , 2 nd ed.

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Starting with matrix theory it covers quite a bit of ground and is beautifully done. It is formidable but it is also magnificent. My favorite text on mathematical statistics is definitely the following. Afternotes goes to Graduate school: That is another reason to do all of your homework. An inexpensive paperback republication of merit is:

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Many others would appreciate it as well. Can a Darwinian be a Christian? However, let me mention what I like best: Things that went over your head the first time now seem obvious.

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Binmore, Ken and Joan Davies. A Concrete Introduction to Higher Algebra , 2 nd ed. Basic Concepts of Algebraic Topology. I have found this to be a good source for classroom examples. Although it is very similar to many other texts, I like this particular text a great deal. I've seen books long out of print that would work nicely in the classroom.

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If forced to use time series analysis for purposes of forecasting I almost always will use double exponential smoothing possibly embellished with seasonal attributes and built-in parameter adjusting. I look over at him, studying him carefully. When studying a new area it sometimes works to read two books simultaneously. One of the best books written for the undergraduate to learn probability is the book by Gordon.

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A book I like a lot is the one by Anderson and Bell. I don't want you to get hurt Its treatment of geometry is particularly good Courant, Richard, Herbert Robins. It is very good. Introduction to Computational Science:

Foundations of Galois Theory. Also, another fine book with Schey in the section on Vector Calculus is the book by Marsden and Tromba. A couple of concise well written first books for the student who has been through the calculus sequence: If you are just learning calculus go to the section Calculus.

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However, there are exceptions. Vibrations and Waves in Physics , 3 rd ed. It is very good. A very short work pages at the first year graduate level covers a good variety of topics: Speakable and Unspeakable in Quantum Mechanics.

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Note both books by Herstein do a good job, but the second is the one to have. An Adventurer's Guide to Number Theory. Introduction to Experiments and Theory , 4 th ed.

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Topics in Fluid Mechanics. I think it is a must-have for any serious student of OR. It is also of interest to the professional. Any graduate student in analysis should have this book. The best book on Fourier analysis is the one by Korner.

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