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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 One-Dimensional Multi-State Models for Statistical and Quantum Mechanics |
I11908 |
2021 |
eBook |
|
| 3 |
Nesteruk, Igor |
COVID-19 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 |
|
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1.
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| 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 real-world 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 |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11928 |
|
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On Shelf |
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2.
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| Title | Solvable One-Dimensional Multi-State 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 multi-state 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 multi-state 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 time-domain methods to solve Smoluchowski-based reaction-diffusion systems with single-state and two-state descriptions are discussed. Their corresponding analytical results derive new equilibrium concepts in reversible reactions and studies the effect of system and molecular parameters in condensed-phase chemical dynamics. In Chapter 3, time-domain 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 two-state models. In interest with electronic transitions, a new solvable two-state model with localized non-adiabatic 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 |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11908 |
|
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On Shelf |
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3.
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| Title | COVID-19 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 (susceptible-infected-removed) model for the dynamics of the epidemic, the known exact solution of the linear differential equations and statistical approach developed before. The COVID-19 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 |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11722 |
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On Shelf |
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4.
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| 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 self-contained 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 self-study 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 |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09583 |
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On Shelf |
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