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Author  Title  Accn#  Year  Item Type  Claims 
1 
Bonamente, Massimiliano 
Statistics and Analysis of Scientific Data 
I12430 
2022 
Book 


1.
 
Title  Statistics and Analysis of Scientific Data 
Author(s)  Bonamente, Massimiliano 
Publication  Singapore, 1. Imprint: Springer
2. Springer Nature Singapore, 2022. 
Description  XXIII, 488 p. 58 illus., 48 illus. in color : online resource 
Abstract Note  This book is the third edition of a successful textbook for upperundergraduate and early graduate students, which offers a solid foundation in probability theory and statistics and their application to physical sciences, engineering, biomedical sciences and related disciplines. It provides broad coverage ranging from conventional textbook content of probability theory, random variables, and their statistics, regression, and parameter estimation, to modern methods including MonteCarlo Markov chains, resampling methods and lowcount statistics. In addition to minor corrections and adjusting structure of the content, particular features in this new edition include: Python codes and machinereadable data for all examples, classic experiments, and exercises, which are now more accessible to students and instructors New chapters on lowcount statistics including the Poissonbased Cash statistic for regression in the lowcount regime, and on contingency tables and diagnostic testing. An additional example of classic experiments based on testing data for SARSCOV2 to demonstrate practical applications of the described statistical methods. This edition inherits the main pedagogical method of earlier versions???a theorythenapplication approach???where emphasis is placed first on a sound understanding of the underlying theory of a topic, which becomes the basis for an efficient and practical application of the materials. Basic calculus is used in some of the derivations, and no previous background in probability and statistics is required. The book includes many numerical tables of data as well as exercises and examples to aid the readers' understanding of the topic 
ISBN,Price  9789811903656 
Keyword(s)  1. Applied Statistics
2. Data Analysis and Big Data
3. EBOOK
4. EBOOK  SPRINGER
5. ENGINEERING MATHEMATICS
6. Engineering???Data processing
7. Mathematical and Computational Engineering Applications
8. Mathematical Methods in Physics
9. MATHEMATICAL PHYSICS
10. Mathematical statistics???Data processing
11. Quantitative research
12. Statistical Theory and Methods
13. Statistics and Computing
14. Statistics??

Item Type  Book 
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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I12430 


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