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Introductory Statistics with R
Peter Dalgaard
Springer, 2004
Excellent resource
I bought this book a little over a year ago when a friend and colleague insisted I learn the R system for our collaborative work. I am not a professional statistician, but an engineer and researcher who needs and uses statistics in the course of my professional work.
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Stochastic Calculus for Finance I: The Binomial Asset Pricing Model (Springer Finance)
Steven E. Shreve
Springer, 2005
Great balance between technical and intuitive
This book seemed to strike the perfect balance between going through the necessary math and getting the points across without pushing the non-PhD reader overboard. This is a great book for semi-mathematical types who practice in finance, or for mathematicians who are ...
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Understanding Analysis
Stephen Abbott
Springer, 2002
Too Good To be True
Once in a while, a book comes along that is so wonderfully written, the reader reflexively searches for other books by its author. Understanding Analysis is a prime example of this rare breed (Unfortunately, this is Abbott's only book as far as I know: write more!).
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Pattern Recognition and Machine Learning (Information Science and Statistics)
Christopher M. Bishop
Springer, 2007
Probably the best book for machine learning
I am a PhD student in machine learning. Bishop is really gifted and he explains very well basic and advanced concepts of machine learning. I would say that this book is much more comprehensive than Hastie's Statistical learning book The Elements of Statistical ...
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Bayesian Computation with R (Use R)
Jim Albert
Springer, 2008
more practicality added to Bayesian inference
Jim Albert is a great teacher and an excellent writer. The R language is becoming one of the most used languages by statistical researchers. This is because it has many similarities to S and can be used freely, Jim makes R easy to learn for statisticians in this ...
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Why Popcorn Costs So Much at the Movies: And Other Pricing Puzzles
Richard B. McKenzie
Springer, 2008
Should be read by every adult who spends money
This is the best book available on why things cost what they do. If you're an adult and you spend money this is "must reading". This book explains how the pricing process works and how these processes impact what we pay at the store, at the university, and at the ...
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Software for Data Analysis: Programming with R (Statistics and Computing)
John M. Chambers
Springer, 2008
just okay
I bought this book at the 2008 JSM. After I read the first 3 chapters I found that it is too wordy. But I have to agree that this is a good book for understanding the basic mechanism of R. If you are an advanced user you might want to read the S programming which is ...
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Stochastic Calculus for Finance II: Continuous-Time Models (Springer Finance)
Steven E. Shreve
Springer, 2008
Pre-digested chicken soup for the "aspiring quant"
While writing a review for Hull's text, I suggested that an easier (than to start with Hull) way to learn quantitative finance is to pick up one of the more focused books on the subject. There is a huge deluge of these books - I think one comes out every few weeks. ...
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Primer on the Rheumatic Diseases (Primer on Rheumatic Diseases (Klippel))
Springer, 2008
Definitely worth having if you're interested in Rheumatology
In medical school, rheumatology is one of those subjects that most medical students cannot really conceptualize and end up memorizing a list of autoimmune diseases along with their specific antibodies. This book has the potential to change this view.
I read this book ...
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The Elements of Statistical Learning
T. Hastie, R. Tibshirani, ...
Springer, 2003
data mining from the viewpoint of statisticians
Data mining is a field developed by computer scientists but many of its crucial elements are imbedded in important and subtle statistical concepts. Statisticians can play an important role in the development of this field but as was the case with artificial ...
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Interest Rate Models - Theory and Practice: With Smile, Inflation and Credit (Springer Finance)
Damiano Brigo, Fabio Mercurio
Springer, 2007
New stuff and nice overview: hard to beat!
In the late nineties I went through Brigo's innovative work on stochastic nonlinear filtering with differential geometry techniques. I was favorably impressed by results and style, particularly in his dissertation and in his 'geometry in present day science' very ...
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Data Manipulation with R (Use R)
Phil Spector
Springer, 2008
a must for statisticians wanting to learn R
This book along with Jim Albert's should be read by every statistician that does a lot of statistical computing. Both books help you learn R quickly and apply it to many important problems in research both applied and theoretical. Albert emphasizes applications in ...
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Linear Algebra Done Right
Sheldon Axler
Springer, 2004
A classic introduction for those who like to reason abstractly
When I was a university student a long time ago our first teacher, Bob Bryce, left a lasting impression on me with a very clean, abstract style of lecturing that I came to expect as the model for good exposition of mathematics. I was disappointed in many cases after ...
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Principles of Quantum Mechanics
R. Shankar
Springer, 1994
An impressive QM book.
I am a lecturer who teach QM mostly. I've read various QM books so far. Apart from being reader-friendly, Shankar's book touches my mind in several points. Dirac equation (chapter20) is superbly written. The book explains very well how the matrices Alpha's and Beta are ...
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The Art of Writing Reasonable Organic Reaction Mechanisms
Robert B. Grossman
Springer, 2007
Excellent Book on Mechanisms
I bought this book to practice mechanisms because I'll be taking a physical organic class in the spring that uses them heavily. I used this book instead of sitting in on a sophomore organic class, because by job as a TA conflicted.
Anyway, this book is ...
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