Copyright Year 2023
ISBN 9781032223827
February 8, 2023 Forthcoming by Chapman & Hall
258 Pages 34 B/W Illustrations
Fundamentals of Mathematical Statistics is meant for a standard one-semester advanced undergraduate or graduate level course on Mathematical Statistics. It covers all the key topics - statistical models, linear normal models, exponential families, estimation, asymptotics of maximum likelihood, significance testing, and models for tables of counts. It assumes a good background in mathematical analysis, linear algebra, and probability, but includes an appendix with basic results from these areas. Throughout the text, there are numerous examples and graduated exercises that illustrate the topics covered, rendering the book suitable for teaching or self-study.
A concise yet rigorous introduction to a one-semester course on mathematical statistics
Covers all the key topics
Assumes a solid background in mathematics and probability
Numerous examples illustrate the topics
Many exercises enhance understanding of the material and enable course use
This textbook will be a perfect fit for an advanced course on mathematical statistics or statistical theory. The concise and lucid approach means it could also serve as a good alternative, or supplement, to existing texts.
1. Statistical Models. 1.1. Models and parametrizations. 1.2. Likelihood, score, and information. 1.3. Exercises. 2. Linear Normal Models. 2.1. The multivariate normal distribution. 2.2. The normal distribution on a vector space. 2.3. The linear normal model. 2.4. Exercises. 3. Exponential Families. 3.1. Regular exponential families. 3.2. Examples of exponential families. 3.3. Properties of exponential families. 3.4. Constructing exponential families. 3.5. Moments, score, and information. 3.6. Curved exponential families. 3.7. Exercises. 4. Estimation. 4.1. General concepts and exact properties. 4.2. Various estimation methods. 4.3. The method of maximum likelihood. 4.4. Exercises. 5. Asymptotic Theory. 5.1. Asymptotic consistency and normality. 5.2. Asymptotics of moment estimators. 5.3. Asymptotics in regular exponential families. 5.4. Asymptotics in curved exponential families. 5.5. More about asymptotics. 5.6. Exercises. 6. Set Estimation. 6.1. Basic issues and definition. 6.2. Exact confidence regions by pivots. 6.3. Likelihood based regions. 6.4. Confidence regions by asymptotic pivots. 6.5. Properties of set estimators. 6.6. Credibility regions. 6.7. Exercises. 7. Significance Testing. 7.1. The problem. 7.2. Hypotheses and test statistics. 7.3. Significance and p-values. 7.4. Critical regions, power, and error types. 7.5. Set estimation and testing. 7.6. Test in linear normal models. 7.7. Determining p-values. 7.8. Exercises. 8. Models for Tables of Counts. 8.1. Multinomial exponential families. 8.2. Genetic equilibrium models. 8.3. Contingency tables. 8.4. Exercises.
Copyright Year 2023
ISBN 9780367702625
December 30, 2022 Forthcoming by Chapman & Hall
410 Pages
In recent times, group theory has found wider applications in various fields of algebra and mathematics in general. But in order to apply this or that result, you need to know about it, and such results are often diffuse and difficult to locate, necessitating that readers construct an extended search through multiple monographs, articles, and papers. Such readers must wade through the morass of concepts and auxiliary statements that are needed to understand the desired results, while it is initially unclear which of them are really needed and which ones can be dispensed with. A further difficulty that one may encounter might be concerned with the form or language in which a given result is presented. For example, if someone knows the basics of group theory, but does not know the theory of representations, and a group theoretical result is formulated in the language of representation theory, then that person is faced with the problem of translating this result into the language with which they are familiar, etc.
Infinite Groups: A Roadmap to Some Classical Areas seeks to overcome this challenge. The book covers a broad swath of the theory of infinite groups, without giving proofs, but with all the concepts and auxiliary results necessary for understanding such results. In other words, this book is an extended directory, or a guide, to some of the more established areas of infinite groups.
An excellent resource for a subject formerly lacking an accessible and in-depth reference
Suitable for graduate students, PhD students, and researchers working in group theory
Introduces the reader to the most important methods, ideas, approaches, and constructions in infinite group theory.
1. Important Subgroups. 1.1. Some Important Series in Groups and Subgroups Defined by these Series. 1.2. Classes of Groups Defined by Series of Subgroups. 1.3. Radicable Groups. 1.4. Something from the Theory of Modules. 1.5. The 0-Rank and p-rank of Abelian Groups. 1.6. The Frattini Subgroup of a Group. 1.7. Linear Groups. 1.8. Residually X-Groups. 2. Finitely Generated Groups. 2.1. The Generalized Burnside Problem. 2.2. The Burnside Problem for Groups of Finite Exponent. 2.3. The Restricted Burnside Problem. 2.4. Growth Functions on Finitely Generated Groups. 2.5. Finitely Presented Groups. 2.6. Groups with the Maximal Condition for all Subgroups. 3. Finiteness Conditions. 3.1 The Minimal Condition on Certain Systems of Subgroups. 3.2. The Minimal Condition on Normal Subgroups. 3.3. Artinian and Related Modules over some Group Rings. 3.4. Minimax Groups. 3.5. The Weak Minimal Condition. 3.6. The Weak Maximal Condition. 4. Ranks of Groups. 4.1. Finite Special Rank and Finite Section p-Rank. 4.2. Finite 0-Rank. 4.3. The Connections Between the Various Rank Conditions I. 4.4. Finite Section Rank. 4.5. Bounded Section Rank. 4.6. The Connections Between the Various Rank Conditions II. 4.7. Finitely Generated Groups. 4.8. Systems of Subgroups Satisfying Rank Conditions. 4.9. Some Residual Systems. 5. Conjugacy Classes. 5.1. Around "Schur’s Theorem", Central-By-Finite Groups and Related Topics. 5.2 Bounded Conjugacy Classes, Finite-By-Abelian Groups and Related Classes. 5.3. Groups with Finite Classes of Conjugate Elements. 5.4. Some Concluding Remarks. 6. Generalized Normal Subgroups and their Opposites. 6.1. Groups Whose Subgroups are Normal, Permutable or Subnormal. 6.2. Groups having a Large Family of Normal Subgroups. 6.3. Groups having a Large Family of Subnormal Subgroups. 6.4. Pairs of Opposite Subgroups. 6.5. Transitively Normal Subgroups. 6.6. The Norm of a Group, The Wielandt Subgroup and Related Topics. 6.7. The Norm of a Group and the Quasicentralizer Condition. 7. Locally Finite Groups. 7.1. Preliminaries. 7.2. Large Locally Finite Groups. 7.3. Simple Locally Finite Groups. 7.4. Existentially Closed Groups. 7.5. Centralizers in Locally Finite Groups. 7.6. Sylow Theory in Locally Finite Groups. 7.7. Conjugacy of Sylow Subgroups. 7.8. Unconventional Sylow Theories. 7.9. Saturated Formations and Fitting Classes. 7.10. Barely Transitive Groups.
Paperback
232 pp., 6 x 9 in, 115 b&w illus.
9780262545242
Published: February 28, 2023
Ingeniously designed mathematical riddles to delight armchair, and seasoned, mathematicians, in high school and beyond.
In The Price of Cake, brothers Clement and Guillaume Deslandes have assembled a uniquely rich and accessible collection of mathematical riddles, organized by difficulty and accompanied by unique hand-drawn illustrations. The challenges are exceptional in both their range and their precision. There are no "tricks" here?just good math to test your skills.
While any student will be thrilled to encounter fresh presentations of classic conundrums such as Simpson's paradox, Hilbert's infinite hotel, Monty Hall's paradox, and Seven Bridges of Konigsberg, seasoned solvers will also appreciate challenging original puzzles using the Axiom of Choice and Conway's Soldiers problem. The Deslandes' lucid and elegant solutions offer new insights, as they seamlessly connect the skills applied in each problem to broader theoretical revelations. Moreover, as Fields Medalist Cedric Villani writes in his preface, these riddles are much more than just exercises. They capture "a certain dose of decorum and mystery," and to decipher them will require both imagination and tenacity.
To aid you on this journey, the authors provide hints to each puzzle, detailed proofs and solutions, and a series of Math Refreshers to revisit important concepts that are used to arrive at those answers. Entertaining and rigorous in equal measure, The Price of Cake is bound to captivate mathematics enthusiasts and students of all levels.
1st Edition - March 1, 2023
Hardcover ISBN: 9780323850605
View series: Handbook of Numerical Analysis
Numerical Control: Part B, Volume 24 in the Handbook of Numerical Analysis series, highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors. Chapters in this volume include Control problems in the coefficients and the domain for linear elliptic equations, Computational approaches for extremal geometric eigenvalue problems, Non-overlapping domain decomposition in space and time for PDE-constrained optimal control problems on networks, Feedback Control of Time-dependent Nonlinear PDEs with Applications in Fluid Dynamics, Stabilization of the Navier-Stokes equations - Theoretical and numerical aspects, Reconstruction algorithms based on Carleman estimates, and more. Other sections cover Discrete time formulations as time discretization strategies in data assimilation, Back and forth iterations/Time reversal methods, Unbalanced Optimal Transport: from Theory to Numerics, An ADMM Approach to the Exact and Approximate Controllability of Parabolic Equations, Nonlocal balance laws -- an overview over recent results, Numerics and control of conservation laws, Numerical approaches for simulation and control of superconducting quantum circuits, and much more.
1st Edition - March 1, 2023
Hardcover ISBN: 9780443184307
View series: Handbook of Statistics
Deep Learning, Volume 48 in the Handbook of Statistics series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of timely topics, including Generative Adversarial Networks for Biometric Synthesis, Data Science and Pattern Recognition, Facial Data Analysis, Deep Learning in Electronics, Pattern Recognition, Computer Vision and Image Processing, Mechanical Systems, Crop Technology and Weather, Manipulating Faces for Identity Theft via Morphing and Deepfake, Biomedical Engineering, and more.
1. Generative Adversarial Networks for Biometric Synthesis
Stephanie Schuckers
2. Pattern Recognition
Keivan Bahmani and Stephanie Schuckers
3. Computer Vision and Image Processing
Amit Roy-Chowdhury and Miraj Ahmed
4. Facial Data Analysis
Mayank Vatsa
5. Mechanical Systems
Rajesh Barnwal
6. Crop Technology and Weather
Gopal Krishna Patra
7. Manipulating Faces for Identity Theft via Morphing and Deepfake
Nalini Ratha and Akshay Agarwal
8. Biomedical Engineering
Rama Chellappa and Chun Pong Lau
9. Data Science and Pattern Recognition
Anurag Bhardwaj
10. Deep Learning in Electronics
Venu Govindaraju
11. Exact Deep Learning Machines
Arni S.R. Srinivasa Rao