International Journal Of Applied Mathematics Statistics
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Applied and Computational Statistics
| Author | : Sorana D. Bolboacǎ |
| Publisher | : MDPI |
| Total Pages | : 104 |
| Release | : 2020-01-23 |
| Genre | : Science |
| ISBN | : 3039281763 |
Research without statistics is like water in the sand; the latter is necessary to reap the benefits of the former. This collection of articles is designed to bring together different approaches to applied statistics. The studies presented in this book are a tiny piece of what applied statistics means and how statistical methods find their usefulness in different fields of research from theoretical frames to practical applications such as genetics, computational chemistry, and experimental design. This book presents several applications of the statistics: · A new continuous distribution with five parameters—the modified beta Gompertz distribution; · A method to calculate the p-value associated with the Anderson–Darling statistic; · An approach of repeated measurement designs; · A validated model to predict statement mutations score; · A new family of structural descriptors, called the extending characteristic polynomial (EChP) family, used to express the link between the structure of a compound and its properties. This collection brings together authors from Europe and Asia with a specific contribution to the knowledge in regards to theoretical and applied statistics.
Industrial Mathematics
| Author | : Mohan C. Joshi |
| Publisher | : Alpha Science Int'l Ltd. |
| Total Pages | : 528 |
| Release | : 2006 |
| Genre | : Mathematics |
| ISBN | : 9788173195778 |
This monograph contains results of recent research interests concerning solution strategies employed for solving real life problems pertaining to modelling and scientific computing, control and optimizations, and financial mathematics.
Fluid And Solid Mechanics
| Author | : Frank Smith |
| Publisher | : World Scientific |
| Total Pages | : 226 |
| Release | : 2016-03-22 |
| Genre | : Mathematics |
| ISBN | : 1786340283 |
This book leads readers from a basic foundation to an advanced-level understanding of fluid and solid mechanics. Perfect for graduate or PhD mathematical-science students looking for help in understanding the fundamentals of the topic, it also explores more specific areas such as multi-deck theory, time-mean turbulent shear flows, non-linear free surface flows, and internal fluid dynamics.Fluid and Solid Mechanics is the second volume of the LTCC Advanced Mathematics Series. This series is the first to provide advanced introductions to mathematical science topics to advanced students of mathematics. Edited by the three joint heads of the London Taught Course Centre for PhD Students in the Mathematical Sciences (LTCC), each book supports readers in broadening their mathematical knowledge outside of their immediate research disciplines while also covering specialized key areas.
Angular Statistics
| Author | : A V Dattatreya Rao |
| Publisher | : CRC Press |
| Total Pages | : 184 |
| Release | : 2019-12-20 |
| Genre | : Mathematics |
| ISBN | : 1000739937 |
Directional data arise in the form of circular / semicircular / axial, symmetric / asymmetric, uni / bimodal data, in practical situations of varied fields. For the purpose of modeling such kind of data sets, the data scientists found that existing models as inadequate. As there is paucity of angular models, and to fill the gap, this book is designed at constructing new angular models with the existing techniques and to develop new tools of constructing angular models with an application to control charts in angular models. This book is planned to cover the following topics in nine chapters Wrapped, stereographic and offset circular models Construction of angular models using Rising Sun function, positive definite sequences, discretization and through differential approach Extemporaneous Semicircular / arc and asymmetric l – axial models Choice of angular models as an inferential aspect and construction of control charts for angular data as an application are presented. This graduate level book will be useful for data scientists, researchers and research students of Statistics and allied fields.
Proceedings of the First International Conference on Applied Mathematics, Statistics, and Computing (ICAMSAC 2023)
| Author | : Komang Dharmawan |
| Publisher | : Springer Nature |
| Total Pages | : 277 |
| Release | : 2024 |
| Genre | : Electronic books |
| ISBN | : 9464634138 |
Zusammenfassung: This is an open access book. ICAMSAC 2023 Theme: Application of Mathematics and Computing in Multidisciplinary Research With Scope Application of Mathematics and Computing in Multidisciplinary Research The Subject Scope of The Conference Mathematical modeling, optimization, numerical analysis, differential equations, mathematical physics, and mathematical biology. probability theory, statistical modeling, experimental design, data visualization, multivariate analysis, machine learning, and applications of statistics in various domains such as finance, healthcare, social sciences, and engineering, cloud computing, programming languages, algorithms, artificial intelligence, data mining, high-performance computing, scientific computing, numerical simulations, and computational modeling. ICAMSAC 2023 aims to bring together leading academic scientists, researchers, andresearch scholars to exchance and share their experiences and research results on all aspects of Mathematics, Statistics, and Computing. It also provides a platform researchers, practitioners, and educators to present and discuss recent innovations, current issues, trends, and challenges faced
Intelligent Data Analysis
| Author | : Michael R. Berthold |
| Publisher | : Springer |
| Total Pages | : 515 |
| Release | : 2007-06-07 |
| Genre | : Computers |
| ISBN | : 3540486259 |
This second and revised edition contains a detailed introduction to the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete coverage of the core issues. The first half of the book is devoted to the discussion of classical statistical issues. The following chapters concentrate on machine learning and artificial intelligence, rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a chapter on visualization and an advanced overview of IDA processes.
Applied Mathematics and Scientific Computing
| Author | : B. Rushi Kumar |
| Publisher | : Springer |
| Total Pages | : 608 |
| Release | : 2019-02-01 |
| Genre | : Mathematics |
| ISBN | : 3030011232 |
This volume is the first of two containing selected papers from the International Conference on Advances in Mathematical Sciences (ICAMS), held at the Vellore Institute of Technology in December 2017. This meeting brought together researchers from around the world to share their work, with the aim of promoting collaboration as a means of solving various problems in modern science and engineering. The authors of each chapter present a research problem, techniques suitable for solving it, and a discussion of the results obtained. These volumes will be of interest to both theoretical- and application-oriented individuals in academia and industry. Papers in Volume I are dedicated to active and open areas of research in algebra, analysis, operations research, and statistics, and those of Volume II consider differential equations, fluid mechanics, and graph theory.
Applied Statistical Methods
| Author | : David D. Hanagal |
| Publisher | : Springer Nature |
| Total Pages | : 318 |
| Release | : 2022-04-13 |
| Genre | : Mathematics |
| ISBN | : 9811679320 |
This book collects select contributions presented at the International Conference on Importance of Statistics in Global Emerging (ISGES 2020) held at the Department of Mathematics and Statistics, University of Pune, Maharashtra, India, from 2–4 January 2020. It discusses recent developments in several areas of statistics with applications of a wide range of key topics, including small area estimation techniques, Bayesian models for small areas, ranked set sampling, fuzzy supply chain, probabilistic supply chain models, dynamic Gaussian process models, grey relational analysis and multi-item inventory models, and more. The possible use of other models, including generalized Lindley shared frailty models, Benktander Gibrat risk model, decision-consistent randomization method for SMART designs and different reliability models are also discussed. This book includes detailed worked examples and case studies that illustrate the applications of recently developed statistical methods, making it a valuable resource for applied statisticians, students, research project leaders and practitioners from various marginal disciplines and interdisciplinary research.
