Toponogov, Victor A.

Differential Geometry of Curves and Surfaces
A Concise Guide

2006, XII, 206 p. 70 illus., Softcover
ISBN: 0-8176-4384-2

About this textbook

The study of curves and surfaces forms an important part of classical differential geometry. Differential Geometry of Curves and Surfaces: A Concise Guide presents traditional material in this field along with important ideas of Riemannian geometry. The reader is introduced to curves, then to surfaces, and finally to more complex topics. Standard theoretical material is combined with more difficult theorems and complex problems, while maintaining a clear distinction between the two levels.

Table of contents

Chapter 1 Curves in a 3-dimensional Euclidean space and in the plane: Preliminaries.- Definition and methods of curves presentation.- Tangent line and an osculating plane.- Length of a curve.- Problems: plane convex curves.- Curvature of a curve.- Problems: curvature of plance curves.- Torsion of a curve.- Frenet formulas and the natural equation of a curve.- Problems: space curves- Phase length of a curve and Fenchel-Reshetnyak inequality.- Exercises Chapter 2 Extrinsic geometry of surfaces in a 3-dimensional Euclidean space.- Definition and methods of generating surfaces.- Tangent plane.- First fundamental form of a surface.- Second fundamental form of a surface.- The third fundamental form of a surface.- Classes of surfaces.- Some classes of curves on a surface.- The main equations of the surfaces theory.- Appendix: Indicatrix of a surface of revolution.- Exercises Chapter 3 Intrinsic geometry of surfaces.- Introducing notions.-Covariant derivative of a vector field.- Parallel translation of a vector along a curve on a surface.- Geodesics.- Shortest paths and geodesics.- Special coordinate system.- Gauss-Bonet theorem and comparison theorem for the angles of a triangle.- Local comparison theorems for triangle.- Alexandrov comparison theorem for the angles of a triangle.- Problems.- Bibliography.- Index

Jacobsen, Martin

Point Process Theory and Applications
Marked Point and Piecewise Deterministic Processes

Series: Probability and its Applications
2006, X, 328 p., Hardcover
ISBN: 0-8176-4215-3

About this textbook

This text offers a mathematically rigorous exposition of the basic theory of marked point processes developing randomly over time, and shows how this theory may be used to treat piecewise deterministic stochastic processes in continuous time.

The focus is on point processes that generate only finitely many points in finite time intervals, resulting in piecewise deterministic processes with "few jumps". The point processes are constructed from scratch with detailed proofs and their distributions characterized using compensating measures and martingale structures. Piecewise deterministic processes are defined and identified with certain marked point processes, which are then used in particular to construct and study a large class of piecewise deterministic Markov processes, whether time homogeneous or not.

The second part of the book addresses applications of the just developed theory. This analysis of various models in applied statistics and probability includes examples and exercises in survival analysis, branching processes, ruin probabilities, sports (soccer), finance and risk management (arbitrage and portfolio trading strategies), and queueing theory.

Table of contents

* Preface
Part I: Theory
* Introduction
* Simple and Marked Point Processes
* Construction of SPPs and MPPs
* Compensators and Mrtingales
* Likelihood Processes
* Independence
* Piecewise Deterministic Markov Processes (PDMPs)
Part II: Applications
* Survival Analysis
* Branching, Ruin, Soccer
* A Model from Finance
* Examples of Queueing Models
Part III: Appendices
* Appendix A: Differentiation of Cadlag Functions
* Appendix B: Filtrations, Processes, Martingales
* Bibliographical Notes
* References
* Notation Index
* Index

Ardilly, Pascal, Tille, Yves

Sampling Methods: Exercises and Solutions

2005, XII, 382 p., Softcover
ISBN: 0-387-26127-3

About this book

This book contains 116 exercises of sampling methods solved in detail. The exercises are grouped into chapters and are preceded by a brief theoretical review specifying the notation and the principal results that are useful for understanding the solutions. Some exercises develop the theoretical aspects of surveys, while others deal with more applied problems.

Intended for instructors, graduate students and survey practitioners, this book addresses in a lively and progressive way the techniques of sampling, the use of estimators and the methods of appropriate calibration, and the understanding of problems pertaining to non-response.

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Carlos J Moreno City University of New York, New York, USA
Samuel S Wagstaff, Jr. Purdue University, West Lafayette, Indiana, USA

Sums of Squares of Integers

Series: Discrete Mathematics and Its Applications Volume: 37
ISBN: 1584884568
Publication Date: 12/9/2005
Number of Pages: 368


Contains over 100 exercises to facilitate comprehension
Presents a proof of Szemeredi's theorem
Discusses how the modern theory of modular forms complements the classical fundamental results
Includes applications to fields such as cryptography, crystallography, and thermal radiation

Sums of Squares of Integers covers topics in combinatorial number theory as they relate to counting representations of integers as sums of a certain number of squares. The book introduces a stimulating area of number theory where research continues to proliferate. It is a book of "firsts" - namely it is the first book to combine Liouville's elementary methods with the analytic methods of modular functions to study the representation of integers as sums of squares. It is the first book to tell how to compute the number of representations of an integer n as the sum of s squares of integers for any s and n. It is also the first book to give a proof of Szemeredi's theorem, and is the first number theory book to discuss how the modern theory of modular forms complements and clarifies the classical fundamental results about sums of squares.

The book presents several existing, yet still interesting and instructive, examples of modular forms. Two chapters develop useful properties of the Bernoulli numbers and illustrate arithmetic progressions, proving the theorems of van der Waerden, Roth, and Szemeredi. The book also explains applications of the theory to three problems that lie outside of number theory in the areas of cryptanalysis, microwave radiation, and diamond cutting. The text is complemented by the inclusion of over one hundred exercises to test the reader's understanding.

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C. Ralph Buncher University of Cincinnati Medical Center, Ohio, USA
Jia-Yeong Tsay Organon Pharmaceuticals, Inc., Roseland, New Jersey, USA

Statistics In the Pharmaceutical Industry, 3rd Edition

Series: Biostatistics Volume: 14
ISBN: 0824754697
Publication Date: 9/28/2005
Number of Pages: 504

Provides updated material in every chapter to reflect the massive growth and change over the past decade
Includes new chapters on topics such as testosterone replacement therapy trials and active-controlled equivalence trials
Addresses the most current and emerging statistical issues involved in HIV/AIDS research and anti-cancer trials
Presents a global view of pharmaceutical development in pertinent chapters by authors from ICH major global regions

The growth of the pharmaceutical industry over the past decade is astounding, but the impact of this growth on statistics is somewhat confusing. While software has made analysis easier and more efficient, regulatory bodies now demand deeper and more complex analyses, and pharmacogenetic/genomic studies serve up an entirely new set of challenges. For more than two decades, Statistics in the Pharmaceutical Industry has been the definitive guide to sorting through the challenges in the industry, and this Third Edition continues that tradition.

Updated and expanded to reflect the most recent trends and developments in the field, Statistics in the Pharmaceutical Industry, Third Edition presents chapters written by experts from both regulatory agencies and pharmaceutical companies who discuss everything from experimental design to post-marketing studies. This approach sheds light on what regulators consider acceptable methodologies and what methods have proven successful for industrial statisticians. Both new and revised chapters reflect the increasingly global nature of the industry as represented by authors from Japan and Europe, the increasing trend toward non-inferiority/equivalence testing, adaptive design in clinical trials, global harmonization of regulatory standards, and multiple comparison studies. The book also examines the latest considerations in anti-cancer studies.

Statistics in the Pharmaceutical Industry, Third Edition demystifies the approval process by combining regulatory and industrial points of view, making it a must-read for anyone performing statistical analysis at any point in the drug approval process.

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