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Author  Title  Accn#  Year  Item Type  Claims 
1 
Edward L. Robinson 
Data analysis for scientists and engineers 
026580 
2016 
Book 

2 
Terrence L. Fine 
Theories of probability 
OB1386 

eBook 

3 
Claude A. Pruneau 
Data analysis techniques for physical scientists 
026279 
2017 
Book 

4 
Randall Pruim 
Foundations and applications of statistics: An Introduction Using R 
026070 
2011 
Book 

5 
John B. Walsh 
Knowing the odds: An Introduction to Probability 
026067 
2012 
Book 

6 
Mark P. Silverman 
Certain uncertainty: Nature's Random Ways 
025892 
2014 
Book 

7 
Meir Hemmo 
Road to Maxwell's demon: Conceptual Foundations of Statistical Mechanics 
024635 
2012 
Book 

8 
Frederick James 
Statistical methods in experimental physics 
023793 
2006 
Book 

9 
Mehran Kardar 
Statistical physics of particles 
023571 
2007 
Book 

10 
Martin Erickson 
Aha! solutions 
023067 
2009 
Book 


1.


Title  Data analysis for scientists and engineers 
Author(s)  Edward L. Robinson 
Publication  New Jersey, Princeton University Press, 2016. 
Description  xiii, 393p. 
Abstract Note 
Hardcover
Price:
$75.00 / £62.00
ISBN:
Published:
10/04/2016
Copyright:
2017
Pages:
408
Size:
8 x 10 in.
Illus:
96 line illus. 7 tables.
ebook
Price:
$75.00 / £62.00
ISBN:
Published:
10/04/2016
Copyright:
2017
Pages:
408
Size:
8 x 10 in.
Illus:
96 line illus. 7 tables.
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Reviews 2
Supplementary Materials
Data Analysis for Scientists and Engineers is a modern, graduatelevel text on data analysis techniques for physical science and engineering students as well as working scientists and engineers. Edward Robinson emphasizes the principles behind various techniques so that practitioners can adapt them to their own problems, or develop new techniques when necessary.
Robinson divides the book into three sections. The first section covers basic concepts in probability and includes a chapter on Monte Carlo methods with an extended discussion of Markov chain Monte Carlo sampling. The second section introduces statistics and then develops tools for fitting models to data, comparing and contrasting techniques from both frequentist and Bayesian perspectives. The final section is devoted to methods for analyzing sequences of data, such as correlation functions, periodograms, and image reconstruction. While it goes beyond elementary statistics, the text is selfcontained and accessible to readers from a wide variety of backgrounds. Specialized mathematical topics are included in an appendix. 
ISBN,Price  9780691169927 : $ 75.00(HB) 
Classification  519.22/.25

Keyword(s)  1. ANALYSIS OF SEQUENCES
2. BAYESIAN STATISTICS
3. FOURIER ANALYSIS
4. LEAST SQUARES ESTIMATION
5. MONTE CARLO METHODS
6. PROBABILITY

Item Type  Book 
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
026580 

519.22/.25/ROB/026580 
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3.


Title  Data analysis techniques for physical scientists 
Author(s)  Claude A. Pruneau 
Publication  Cambridge, Cambridge University Press, 2017. 
Description  xiii, 704p. 
Abstract Note  A comprehensive guide to data analysis techniques for physical scientists, providing a valuable resource for advanced undergraduate and graduate students, as well as seasoned researchers. The book begins with an extensive discussion of the foundational concepts and methods of probability and statistics under both the frequentist and Bayesian interpretations of probability. It next presents basic concepts and techniques used for measurements of particle production crosssections, correlation functions, and particle identification. Much attention is devoted to notions of statistical and systematic errors, beginning with intuitive discussions and progressively introducing the more formal concepts of confidence intervals, credible range, and hypothesis testing. The book also includes an indepth discussion of the methods used to unfold or correct data for instrumental effects associated with measurement and process noise as well as particle and event losses, before ending with a presentation of elementary Monte Carlo techniques. 
ISBN,Price  9781108416788 : UKP 69.99(HB) 
Classification  53:681.3

Keyword(s)  1. DATA CORRECTION METHODS
2. EBOOK
3. EBOOK  CAMBRIDGE UNIVERSITY PRESS
4. Kalman filtering
5. MEASUREMENT TECHNIQUES
6. PROBABILITY
7. SIMULATION TECHNIQUES
8. STATISTICS

Item Type  Book 
MultiMedia Links
Please Click here for eBook
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
026279 


On Shelf 



OB1312 

53:681.3/PRU/ 
On Shelf 




6.


Title  Certain uncertainty: Nature's Random Ways 
Author(s)  Mark P. Silverman 
Publication  Cambridge, Cambridge University Press, 2014. 
Description  xvi, 617p. 
Abstract Note  DescriptionContentsResourcesCoursesAbout the Authors
Based around a series of reallife scenarios, this engaging introduction to statistical reasoning will teach you how to apply powerful statistical, qualitative and probabilistic tools in a technical context. From analysis of electricity bills, baseball statistics, and stock market fluctuations, through to profound questions about physics of fermions and bosons, decaying nuclei, and climate change, each chapter introduces relevant physical, statistical and mathematical principles stepbystep in an engaging narrative style, helping to develop practical proficiency in the use of probability and statistical reasoning. With numerous illustrations making it easy to focus on the most important information, this insightful book is perfect for students and researchers of any discipline interested in the interwoven tapestry of probability, statistics, and physics. 
ISBN,Price  9781107032811 : US $100.00(HB) 
Classification  519.21:53

Keyword(s)  1. EBOOK
2. EBOOK  CAMBRIDGE UNIVERSITY PRESS
3. PROBABILITY
4. RANDOMNESS
5. STATISTICAL PHYSICS
6. STATISTICAL REASONING

Item Type  Book 
MultiMedia Links
Click Here for Online Book
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
025892 

519.21:53/SIL/025982 
On Shelf 



OB0447 

519.21:53/SIL/ 
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7.


Title  Road to Maxwell's demon: Conceptual Foundations of Statistical Mechanics 
Author(s)  Meir Hemmo ;Orly R. Shenker 
Publication  Cambridge, Cambridge University Press, 2012. 
Description  xii, 327p. 
Abstract Note  Time asymmetric phenomena are successfully predicted by statistical mechanics. Yet the foundations of this theory are surprisingly shaky. Its explanation for the ease of mixing milk with coffee is incomplete, and even implies that unmixing them should be just as easy. In this book the authors develop a new conceptual foundation for statistical mechanics that addresses this difficulty. Explaining the notions of macrostates, probability, measurement, memory, and the arrow of time in statistical mechanics, they reach the startling conclusion that Maxwell's Demon, the famous perpetuum mobile, is consistent with the fundamental physical laws. Mathematical treatments are avoided where possible, and instead the authors use novel diagrams to illustrate the text. This is a fascinating book for graduate students and researchers interested in the foundations and philosophy of physics. 
ISBN,Price  9781107019683 : UKP 60.00(HB) 
Classification  531.19

Keyword(s)  1. CLASSICAL MECHANICS
2. EBOOK
3. EBOOK  CAMBRIDGE UNIVERSITY PRESS
4. ENTROPY
5. MACROSTATES
6. MAXWELLS DEMON
7. MEASUREMENT
8. PROBABILITY
9. THERMODYNAMICS
10. TIME

Item Type  Book 
MultiMedia Links
Click Here for Online Book
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
024635 

531.19/HEM/024635 
On Shelf 



OB0520 

531.19/HEM/ 
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9.


Title  Statistical physics of particles 
Author(s)  Mehran Kardar 
Publication  Cambridge, Cambridge University Press, 2007. 
Description  x, 320p. 
Abstract Note  Statistical physics has its origins in attempts to describe the thermal properties of matter in terms of its constituent particles, and has played a fundamental role in the development of quantum mechanics. Based on lectures taught by Professor Kardar at MIT, this textbook introduces the central concepts and tools of statistical physics. It contains a chapter on probability and related issues such as the central limit theorem and information theory, and covers interacting particles, with an extensive description of the van der Waals equation and its derivation by mean field approximation. It also contains an integrated set of problems, with solutions to selected problems at the end of the book and a complete set of solutions is available to lecturers on a password protected website at www.cambridge.org/9780521873420. A companion volume, Statistical Physics of Fields, discusses nonmean field aspects of scaling and critical phenomena, through the perspective of renormalization group. 
ISBN,Price  9780521873420 : UKP 45.00(HB) 
Classification  539.142.2

Keyword(s)  1. KINETIC THEORY OF GASES
2. PROBABILITY
3. QUANTUM GASES
4. QUANTUM STATISTICAL MECHANICS
5. STATISTICAL MECHANICS
6. STATISTICAL PHYSICS

Item Type  Book 
MultiMedia Links
Online resources
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
023571 

539.142.2/KAR/023571 
On Shelf 



026840 

539.142.2/KAR/026840 
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10.
 
Title  Aha! solutions 
Author(s)  Martin Erickson 
Publication  Washington, Mathematical Association of America, 2009. 
Description  xii, 207p. 
Series  (MAA problem books series) 
Abstract Note  This book is a collection of problems with aha! solutions. The problems are at the level of the college mathematics student, but there should be something of interest for the high school student, the teacher of mathematics, the ``math fan,'' and anyone else who loves mathematical challenges.
This collection includes one hundred problems in the areas of arithmetic, geometry, algebra, calculus, probability, number theory, and combinatorics. The problems start out easy and generally get more difficult as you progress through the book. A few solutions require the use of a computer. An important feature of the book is the bonus discussion of related mathematics that follows the solution of each problem. This material is there to entertain and inform you or point you to new questions. If you don't remember a mathematical definition or concept, there is a Toolkit in the back of the book that will help.

ISBN,Price  9780883858295 : UKP 30.00(HB) 
Classification  51

Keyword(s)  1. ALGEBRA
2. ARITHMETIC
3. CALCULUS
4. COMBINATORICS
5. GEOMETRY
6. MATHEMATICS
7. NUMBER THEORY
8. PROBABILITY

Item Type  Book 
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
023067 

51/ERI/023067 
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+Copy Specific Information  