Libros de Matemáticas, página 20 de 470

For the past 25 years, the Geometrization Program of Thurston has been a driving force for research in 3-manifold topology. This has inspired a surge of activity investigating hyperbolic 3-manifolds (and Kleinian groups), as these manifolds form the largest and least well- understood class of compact 3-manifolds. Familiar and new tools from diverse areas of mathematics have been utilized in these investigations, from topology, geometry, analysis, group theory, and from the point of view of this book, algebra and number theory. This book is aimed at readers already familiar with the basics of hyperbolic 3-manifolds or Kleinian groups, and it is intended to introduce them to the interesting connections with number theory and the tools that will be required to pursue them. While there are a number of texts which cover the topological, geometric and analytical aspects of hyperbolic 3-manifolds, this book is unique in that it deals exclusively with the arithmetic aspects, which are not covered in other texts. Colin Maclachlan is a Reader in the Department of Mathematical Sciences at the University of Aberdeen in Scotland where he has served since 1968.He is a former President of the Edinburgh Mathematical Society. Alan Reid is a Professor in the Department of Mathematics at The University of Texas at Austin. He is a former Royal Society University Research Fellow, Alfred P. Sloan Fellow and winner of the Sir Edmund Whittaker Prize from The Edinburgh Mathematical Society. Both authors have published extensively in the general area of discrete groups, hyperbolic manifolds and low-dimensional topology.

Based on their extensive experience with teaching R and statistics to applied scientists the authors provide a beginner s guide to R To avoid the difficulty of teaching R and statistics at the same time statistical methods are kept to a minimum The text covers how to download and install R import and manage data elementary plotting an introduction to functions advanced plotting and common beginner mistakes This book contains everything you need to know to get started with R

It has been twenty years since the last edition of this classic book. Kevin Wainwright (British Columbia University and Simon Fraser University), a long time user of the text, has executed the perfect revision: he has updated examples, applications and theory without changing the elegant, precise presentation style of Alpha Chiang. Readers will find the wait was worthwhile.

Dieses Einsteigerbuch zur Unfallanalyse richtet sich an Anfanger und stellt einen wichtigen ersten Schritt in dieses spannende und technisch anspruchsvolle Fachgebiet dar. Es vermittelt grundlegendes Wissen, um einen positiven Beitrag in der Unfallanalyse leisten zu konnen. Der Autor, Matthias Schmidt, betont die Bedeutung des lebenslangen Lernens und ermutigt die Leser, ihre Kenntnisse durch regelmaige Fortbildungen, Fachliteratur und den Austausch mit Kollegen stetig zu erweitern. Das Buch endet mit einer motivierenden Botschaft: Engagement und fachliche Qualifikation konnen wesentlich zur Erhohung der Verkehrssicherheit und zur Verbesserung der Qualitat der Unfallanalyse beitragen.

"Miguel Pérez-Moneo y Joan Vintró Castells con profesores de Derehco Constitucional de la Universitat de Barcelona. Coordinan este libro en el que participan otros 16 profesores de Derehco Constitucional de distintas Universidades: Carlos III Y Complutense de Madrid, de León, de Oviedo y Universidad de Educación a distancia". Este libro colectivo presenta una reflexión sobre la participación política a partir de la consideración de diversos mecanismos participativos que tienen en cuenta al ciudadano tanto en su condición de individuo como de representado político......

Applied Statistical Modelling for Ecologists provides a gentle introduction to the essential models of applied statistics linear models generalized linear models mixed and hierarchical models All models are fit with both a likelihood and a Bayesian approach using several powerful software packages widely used in research publications JAGS NIMBLE Stan and TMB In addition the foundational method of maximum likelihood is explained in a manner that ecologists can really understand This book is the successor of the widely used Introduction to WinBUGS for Ecologists Kery Academic Press 2010 Like its parent it is extremely effective for both classroom use and self study allowing students and researchers alike to quickly learn understand and carry out a very wide range of statistical modelling tasks The examples in Applied Statistical Modelling for Ecologists come from ecology and the environmental sciences but the underlying statistical models are very widely used by scientists across many disciplines This book will be useful for anybody who needs to learn and quickly become proficient in statistical modelling with either a likelihood or a Bayesian focus and in the model fitting engines covered including the three latest packages NIMBLE Stan and T

In their bestselling title MATHEMATICAL STATISTICS WITH APPLICATIONS, premiere authors Dennis Wackerly, William Mendenhall, and Richard L. Scheaffer present a solid foundation in statistical theory while conveying the relevance and importance of the theory in solving practical problems in the real world. The authors' use of practical applications and excellent exercises helps you discover the nature of statistics and understand its essential role in scientific research. With the addition of contributor Brendan Ames, MATHEMATICAL STATISTICS WITH APPLICATIONS now includes an enhanced eTextbook. Simulation activities using interactive applets and R embedded within the MindTap Reader help students visualize statistical concepts, and an appendix introducing students to statistical data analysis using R can be found at the end of the eTextbook.