

Click the serial number on the left to view the details of the item. 
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Author  Title  Accn#  Year  Item Type  Claims 
1 
Sheldon M. Ross 
Introduction to probability models 
026874 
2019 
Book 

2 
Simon Vaughan 
Scientific Inference: Learning from Data 
026822 
2014 
Book 

3 
Douglas G. Martinson 
Quantitative methods of data analysis for the physical sciences and engineering 
026494 
2018 
Book 

4 
Hiroshi Sugita 
Probability and random number: A First Guide to Randomness 
026255 
2014 
Book 

5 
A. M. Yaglom 
Challenging mathematical problems with elementary solutions Vol.1: Combinatorial Analysis and Probability Theory 
026030 
1964 
Book 

6 
Wayne C. Myrvold (ed.) 
Quantum reality, relativistic causality, and closing the epistemic circle: Essays in Honour of Abner Shimony 
023582 
2009 
Book 

7 
David Stirzaker 
Probability and random variables: A beginner's guide 
023086 
1999 
Book 

8 
A. A. Sveshnikov (ed.) 
Problems in probability theory, mathematical statistics and theory of random functions 
022611 
1968 
Book 

9 
E.T. Jaynes 
Probability theory : The logic of science 
019356 
2003 
Book 

10 
Kai Lai Chung 
Elementary probability theory with stochastic processes and an introduction to mathematical finance 
018411 
2003 
Book 


2.


Title  Scientific Inference: Learning from Data 
Author(s)  Simon Vaughan 
Publication  Cambridge, Cambridge University Press, 2014. 
Description  xiv, 224p. 
Abstract Note  Providing the knowledge and practical experience to begin analysing scientific data, this book is ideal for physical sciences students wishing to improve their data handling skills. The book focuses on explaining and developing the practice and understanding of basic statistical analysis, concentrating on a few core ideas, such as the visual display of information, modelling using the likelihood function, and simulating random data. Key concepts are developed through a combination of graphical explanations, worked examples, example computer code and case studies using real data. Students will develop an understanding of the ideas behind statistical methods and gain experience in applying them in practice. 
ISBN,Price  9781107607590 : US $30.99(PB) 
Classification  519.23

Keyword(s)  1. PROBABILITY THEORY
2. SCIENTIFIC INFERENCE
3. STATISTICAL ANALYSIS

Item Type  Book 
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
026822 

519.23/VAU/026822 
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3.


Title  Quantitative methods of data analysis for the physical sciences and engineering 
Author(s)  Douglas G. Martinson 
Publication  Cambridge, Cambridge University Press, 2018. 
Description  xiv,614p. 
Abstract Note  This book provides thorough and comprehensive coverage of most of the new and important quantitative methods of data analysis for graduate students and practitioners. In recent years, data analysis methods have exploded alongside advanced computing power, and it is critical to understand such methods to get the most out of data, and to extract signal from noise. The book excels in explaining difficult concepts through simple explanations and detailed explanatory illustrations. Most unique is the focus on confidence limits for power spectra and their proper interpretation, something rare or completely missing in other books. Likewise, there is a thorough discussion of how to assess uncertainty via use of Expectancy, and the easy to apply and understand Bootstrap method. The book is written so that descriptions of each method are as selfcontained as possible. Many examples are presented to clarify interpretations, as are user tips in highlighted boxes. 
ISBN,Price  9781107029767 : £ 49.99(HB) 
Classification  519.22/.25

Keyword(s)  1. DATA ANALYSIS
2. PROBABILITY THEORY
3. SEQUENTIAL DATA ANALYSIS
4. STATISTICS

Item Type  Book 
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
026494 

519.22/.25/MAR/026949 
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4.


Title  Probability and random number: A First Guide to Randomness 
Author(s)  Hiroshi Sugita 
Publication  Singapore, World Scientific, 2014. 
Description  xi, 125p 
Abstract Note  This is a book of elementary probability theory that includes a chapter on algorithmic randomness. It rigorously presents definitions and theorems in computation theory, and explains the meanings of the theorems by comparing them with mechanisms of the computer, which is very effective in the current computer age.
Random number topics have not been treated by any books on probability theory, only some books on computation theory. However, the notion of random number is necessary for understanding the essential relation between probability and randomness. The field of probability has changed very much, thus this book will make and leave a big impact even to expert probabilists.
Readers from applied sciences will benefit from this book because it presents a very proper foundation of the Monte Carlo method with practical solutions, keeping the technical level no higher than 1st year university calculus.

ISBN,Price  9789813228252 : 48.00 
Classification  519.21

Keyword(s)  1. COMPUTATION THEORY
2. MONTE CARLO METHODS
3. PROBABILITY THEORY
4. RANDOM NUMBERS
5. RANDOMNESS

Item Type  Book 
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
026255 

519.21/SUG/026255 
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5.


Title  Challenging mathematical problems with elementary solutions Vol.1: Combinatorial Analysis and Probability Theory 
Author(s)  A. M. Yaglom;I. M. Yaglom;James McCawley (tr.);Basil Gordon (ed.) 
Publication  New York, Dover Publications, Inc., 1964. 
Description  viii, 231p. 
Abstract Note  Volume One contains 100 problems, with detailed solutions, all dealing with probability theory and combinatorial analysis. Topics include the representation of integers as sums and products, combinatorial problems on the chessboard, geometric problems on combinatorial analysis, problems on the binomial coefficients, problems on computing probabilities, experiments with infinitely many possible outcomes, and experiments with a continuum of possible outcomes. 
ISBN,Price  9780486655369 : US $14.65(PB) 
Classification  51(076.2)

Keyword(s)  1. BINOMIAL COEFFICIENTS
2. COMBINATORIAL ANALYSIS
3. PROBABILITY THEORY

Item Type  Book 
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
026030 

51(076.2)/YAG/026030 
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6.


Title  Quantum reality, relativistic causality, and closing the epistemic circle: Essays in Honour of Abner Shimony 
Author(s)  Wayne C. Myrvold (ed.);Joy Christian (ed.) 
Publication  Dordrecht, Springer, 2009. 
Description  xi, 516p. 
Series  (The Western Ontario Series in Philosophy of Scince) 
Abstract Note  This book collects twentythree original essays stemming from the conference, on topics including history and methodology of science, Bell's theorem, probability theory, the uncertainty principle, stochastic modifications of quantum mechanics, and relativity theory. It ends with a transcript of a fascinating discussion between Lee Smolin and Shimony, ranging over the entire spectrum of Shimony's wideranging contributions to philosophy, science, and philosophy of science. 
ISBN,Price  9781402091063 : Eur 129.95(HB) 
Classification  530.145.6(069)

Keyword(s)  1. BELL'S THEOREM
2. FESTSCHRIFT  ABNER SHIMONY
3. HISTORY OF SCIENCE
4. PHILOSOPHY OF SCIENCE
5. PROBABILITY THEORY
6. RELATIVITY THEORY
7. SHIMONY, ABNER  FESTSCHRIFT
8. STOCHASTIC MODIFICATIONS
9. UNCERTAINTY PRINCIPLE

Item Type  Book 
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
023582 

530.145.6(069)/MYR/023582 
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7.


Title  Probability and random variables: A beginner's guide 
Author(s)  David Stirzaker 
Publication  Cambridge, Cambridge University Press, 1999. 
Description  xii, 369p. 
Abstract Note  his is a simple and concise introduction to probability theory. Selfcontained and readily accessible, it is written in an informal tutorial style with concepts and techniques defined and developed as necessary. After an elementary discussion of chance, the central and crucial rules and ideas of probability including independence and conditioning are set out. Examples, demonstrations, and exercises are used throughout to explore the ways in which probability is motivated by, and applied to, real life problems in science, medicine, gaming and other subjects of interest. This book is suitable for students taking introductory courses in probability and will provide a solid foundation for more advanced courses in probability and statistics. It would also be a valuable reference to those needing a working knowledge of probability theory and will appeal to anyone interested in this endlessly fascinating and entertaining subject. 
ISBN,Price  9780521644453 : UKP 26.99(PB) 
Classification  519.219

Keyword(s)  1. PROBABILITY THEORY
2. RANDOM VARIABLES

Item Type  Book 
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
023086 

519.219/STI/023086 
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