

Click the serial number on the left to view the details of the item. 
# 
Author  Title  Accn#  Year  Item Type  Claims 
1 
Borda, Monica 
Randomness and Elements of Decision Theory Applied to Signals 
I11928 
2021 
eBook 

2 
Saravanan, Rajendran 
Solvable OneDimensional MultiState Models for Statistical and Quantum Mechanics 
I11908 
2021 
eBook 

3 
Nesteruk, Igor 
COVID19 Pandemic Dynamics 
I11722 
2021 
eBook 

4 
Helias, Moritz 
Statistical Field Theory for Neural Networks 
I09583 
2020 
eBook 

5 
Michael J. Crawley 
R book 
025414 
2012 
Book 

6 
Samuel S. Wilks 
Mathematical statistics 
024433 
1962 
Book 

7 
Martin A. Tanner 
Tools for statistical inference: Methods for the exploration of posterior distributions and likelihood functions 
022613 
1997 
Book 

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

9 
Larry Wasserman 
All of statistics : A concise course in statistical inference 
021179 
2004 
Book 

10 
Jun Shao 
Mathematical statistics 
020682 
2003 
Book 


1.


Title  Randomness and Elements of Decision Theory Applied to Signals 
Author(s)  Borda, Monica;Terebes, Romulus;Malutan, Raul;Ilea, Ioana;Cislariu, Mihaela;Miclea, Andreia;Barburiceanu, Stefania 
Publication  Cham, Springer International Publishing, 2021. 
Description  XVII, 242 p. 254 illus., 168 illus. in color : online resource 
Abstract Note  This book offers an overview on the main modern important topics in random variables, random processes, and decision theory for solving realworld problems. After an introduction to concepts of statistics and signals, the book introduces many essential applications to signal processing like denoising, texture classification, histogram equalization, deep learning, or feature extraction. The book uses MATLAB algorithms to demonstrate the implementation of the theory to real systems. This makes the contents of the book relevant to students and professionals who need a quick introduction but practical introduction how to deal with random signals and processes 
ISBN,Price  9783030903145 
Keyword(s)  1. Computer science???Mathematics
2. EBOOK
3. EBOOK  SPRINGER
4. MATHEMATICAL STATISTICS
5. OPERATIONS RESEARCH
6. Operations Research and Decision Theory
7. Probability and Statistics in Computer Science
8. SIGNAL PROCESSING
9. Signal, Speech and Image Processing
10. Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
11. Statistics??

Item Type  eBook 
MultiMedia Links
Please Click here for eBook
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I11928 


On Shelf 




2.


Title  Solvable OneDimensional MultiState Models for Statistical and Quantum Mechanics 
Author(s)  Saravanan, Rajendran;Chakraborty, Aniruddha 
Publication  Singapore, Springer Nature Singapore, 2021. 
Description  XIX, 174 p. 94 illus., 44 illus. in color : online resource 
Abstract Note  This book highlights the need for studying multistate models analytically for understanding the physics of molecular processes. An intuitive picture about recently solved models of statistical and quantum mechanics is drawn along with presenting the methods developed to solve them. The models are relevant in the context of molecular processes taking place in gaseous phases and condensed phases, emphasized in the introduction. Chapter 1 derives the arisal of multistate models for molecular processes from the full Hamiltonian description. The model equations are introduced and the literature review presented in short. In Chapter 2, the timedomain methods to solve Smoluchowskibased reactiondiffusion systems with singlestate and twostate descriptions are discussed. Their corresponding analytical results derive new equilibrium concepts in reversible reactions and studies the effect of system and molecular parameters in condensedphase chemical dynamics. In Chapter 3, timedomain methods to solve quantum scattering problems are developed. Along side introducing a brand new solvable model in quantum scattering, it discusses transient features of quantum twostate models. In interest with electronic transitions, a new solvable twostate model with localized nonadiabatic coupling is also presented. The book concludes by proposing the future scope of the model, thereby inviting new research in this fundamentally important and rich applicable field 
ISBN,Price  9789811666544 
Keyword(s)  1. Chemometrics
2. EBOOK
3. EBOOK  SPRINGER
4. Mathematical Applications in Chemistry
5. MATHEMATICAL PHYSICS
6. MATHEMATICAL STATISTICS
7. Theoretical, Mathematical and Computational Physics

Item Type  eBook 
MultiMedia Links
Please Click here for eBook
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I11908 


On Shelf 




3.


Title  COVID19 Pandemic Dynamics : Mathematical Simulations 
Author(s)  Nesteruk, Igor 
Publication  Singapore, Springer Nature Singapore, 2021. 
Description  XII, 172 p. 77 illus., 46 illus. in color : online resource 
Abstract Note  This book highlights the estimate of epidemic characteristics for different countries/regions in the world with the use of known SIR (susceptibleinfectedremoved) model for the dynamics of the epidemic, the known exact solution of the linear differential equations and statistical approach developed before. The COVID19 pandemic is of great interest to researchers due to its high mortality and a negative impact to the world economy. Correct simulation of the pandemic dynamics needs complicated mathematical models and many efforts for unknown parameters identification. The simple method of detection of the new pandemic wave is proposed and SIR model generalized. The hidden periods, epidemic durations, final numbers of cases, the effective reproduction numbers and probabilities of meeting an infected person are presented for countries like USA, Germany, UK, the Republic of Korea, Italy, Spain, France, the Republic of Moldova, Ukraine, and for the world. The presented information is useful to regulate the quarantine activities and to predict the medical and economic consequences of different/future pandemics. 
ISBN,Price  9789813364165 
Keyword(s)  1. EBOOK
2. EBOOK  SPRINGER
3. Health promotion
4. Health Promotion and Disease Prevention
5. MATHEMATICAL STATISTICS
6. Medicine, Preventive
7. Public health
8. STATISTICAL PHYSICS

Item Type  eBook 
MultiMedia Links
Please Click here for eBook
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I11722 


On Shelf 




4.


Title  Statistical Field Theory for Neural Networks 
Author(s)  Helias, Moritz;Dahmen, David 
Publication  Cham, Springer International Publishing, 2020. 
Description  XVII, 203 p. 127 illus., 5 illus. in color : online resource 
Abstract Note  This book presents a selfcontained introduction to techniques from field theory applied to stochastic and collective dynamics in neuronal networks. These powerful analytical techniques, which are well established in other fields of physics, are the basis of current developments and offer solutions to pressing open problems in theoretical neuroscience and also machine learning. They enable a systematic and quantitative understanding of the dynamics in recurrent and stochastic neuronal networks. This book is intended for physicists, mathematicians, and computer scientists and it is designed for selfstudy by researchers who want to enter the field or as the main text for a one semester course at advanced undergraduate or graduate level. The theoretical concepts presented in this book are systematically developed from the very beginning, which only requires basic knowledge of analysis and linear algebra 
ISBN,Price  9783030464448 
Keyword(s)  1. EBOOK
2. EBOOK  SPRINGER
3. MACHINE LEARNING
4. Mathematical Models of Cognitive Processes and Neural Networks
5. MATHEMATICAL STATISTICS
6. Neural networks (Computer science)??
7. Neurosciences
8. Probability and Statistics in Computer Science
9. STATISTICAL PHYSICS
10. Statistical Physics and Dynamical Systems

Item Type  eBook 
MultiMedia Links
Please Click here for eBook
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I09583 


On Shelf 



 