chapman hall crc numerical analysis

Asymptotic methods provide important tools for approximating and analysing functions that arise in probability and statistics. Moreover the conclusions of asymptotic analysis often supplement the conclusions obtained by numerical methods. Providing a... ... more

As today s financial products have become more complex quantitative analysts financial engineers and others in the financial industry now require robust techniques for numerical analysis. Covering advanced quantitative techniques Computational Methods... ... more

Decomposition Methods for Differential Equations: Theory and Applications describes the analysis of numerical methods for evolution equations based on temporal and spatial decomposition methods. It covers real-life problems the underlying decomposition... ... more

Contains Nearly 100 Pages of New Material The recent financial crisis has shown that credit risk in particular and finance in general remain important fields for the application of mathematical concepts to real-life situations. While continuing to... ... more

Using real-life examples from the banking and insurance industries Quantitative Operational Risk Models details how internal data can be improved based on external information of various kinds. Using a simple and intuitive methodology based on... ... more

Amidst the rampant use of algorithmization enabled by AI the common theme of AI systems is the human factor. Humans play an essential role in designing developing and operationalizing AI systems. We have a remit to ensure those systems run... ... more

With the ubiquitous use of digital imaging a new profession has emerged: imaging engineering. Designed for newcomers to imaging science and engineering Theoretical Foundations of Digital Imaging Using MATLAB(R) treats the theory of digital imaging as a... ... more

Developed from the esteemed author s advanced undergraduate and graduate courses at the University of Cambridge this text provides a hands-on sound introduction to mathematical finance. Assuming no prior knowledge of stochastic calculus or... ... more

Our books are pre-loved which means they have been read before. We carefully check all our books and believe them to be in a - USED - VERY GOOD Condition condition. If you re not completely satisfied please get in touch & we ll be happy to help.... ... more

Energy-Aware Memory Management for Embedded Multimedia Systems: A Computer-Aided Design Approach presents recent computer-aided design (CAD) ideas that address memory management tasks particularly the optimization of energy consumption in the memory... ... more

Taking into account the standards of the Basel Accord Operational Risk Modelling and Management presents a simulation model for generating the loss distribution of operational risk. It also examines a multitude of management issues that must be... ... more

Handbook of Methods for Designing Monitoring and Analyzing Dose-Finding Trials gives a thorough presentation of state-of-the-art methods for early phase clinical trials. The methodology of clinical trials has advanced greatly over the last 20 years and... ... more

Introduction to Financial Derivatives with Python is an ideal textbook for an undergraduate course on derivatives whether on a finance economics or financial mathematics programme. As well as covering all of the essential topics one would expect to be... ... more

Reflecting the author s wealth of experience in this field Handbook of Solvency for Actuaries and Risk Managers: Theory and Practice focuses on the valuation of assets and liabilities the calculation of capital requirement and the calculation of the... ... more

There is a huge amount of literature on statistical models for the prediction of survival after diagnosis of a wide range of diseases like cancer cardiovascular disease and chronic kidney disease. Current practice is to use prediction models based on... ... more

Cancer Clinical Trials: Current and Controversial Issues in Design and Analysis provides statisticians with an understanding of the critical challenges currently encountered in oncology trials. Well-known statisticians from academic institutions... ... more

Keep Up to Date with the Evolving Landscape of Space and Space-Time Data Analysis and Modeling Since the publication of the first edition the statistical landscape has substantially changed for analyzing space and space-time data. More than twice the... ... more

This book aims to steer the reader through a pool of techniques available for analysing repeated measurements. It describes an appropriately random selection of examples in connection with the various statistical methods. ... more

Introduction to Functional Data Analysis provides a concise textbook introduction to the field. It explains how to analyze functional data both at exploratory and inferential levels. It also provides a systematic and accessible exposition of the... ... more

Fuzzy sets near sets and rough sets are useful and important stepping stones in a variety of approaches to image analysis. These three types of sets and their various hybridizations provide powerful frameworks for image analysis. Emphasizing the... ... more

Novel Statistical Tools for Conserving and Managing Populations By gathering information on key demographic parameters scientists can often predict how populations will develop in the future and relate these parameters to external influences such as... ... more

Although emerging market economies consist of 50% of the global population they are relatively unknown. Filling this knowledge gap Emerging Markets: Performance Analysis and Innovation compiles the latest research by noteworthy academics and money... ... more

Multivariate Survival Analysis and Competing Risks introduces univariate survival analysis and extends it to the multivariate case. It covers competing risks and counting processes and provides many real-world examples exercises and R code. The text... ... more

Sequential Analysis: Hypothesis Testing and Changepoint Detection systematically develops the theory of sequential hypothesis testing and quickest changepoint detection. It also describes important applications in which theoretical results can be used... ... more

The concept of frailty offers a convenient way to introduce unobserved heterogeneity and associations into models for survival data. In its simplest form frailty is an unobserved random proportionality factor that modifies the hazard function of an... ... more

Learn How to Properly Analyze Categorical DataAnalysis of Categorical Data with R presents a modern account of categorical data analysis using the popular R software. It covers recent techniques of model building and assessment for binary multicategory... ... more

A culmination of the author s many years of consulting and teaching Design and Analysis of Experiments with SAS provides practical guidance on the computer analysis of experimental data. It connects the objectives of research to the type of... ... more

This handbook will provide both overviews of statistical methods in sports and in-depth treatment of critical problems and challenges confronting statistical research in sports. The material in the handbook will be organized by major sport (baseball... ... more

Emphasizing the use of WinBUGS and R to analyze real data Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians presents statistical tools to address scientific questions. It highlights foundational issues in statistics the... ... more

Highly praised for its broad practical coverage the second edition of this popular text incorporated the major statistical models and issues relevant to epidemiological studies. Epidemiology: Study Design and Data Analysis Third Edition continues to... ... more

Incidence rates are counts divided by person-time; mortality rates are a well-known example. Analysis of Incidence Rates offers a detailed discussion of the practical aspects of analyzing incidence rates. Important pitfalls and areas of controversy are... ... more

GENSTAT is a general purpose statistical computing system with a flexible command language operating on a variety of data structures. It may be used on a number of computer ranges either interactively for exploratory data analysis or in batch mode for... ... more

This book contains the latest material in the subject covering NGS applications and meeting the requirements of a complete semester course. This book provides both concept and practice to satisfy the exact need of researchers seeking to use NGS data... ... more

Illustrating how stability studies play an important role in drug safety and quality assurance this book introduces the basic concepts of stability testing focuses on short-term stability studies and reviews several methods for estimating drug... ... more

Clustering remains a vibrant area of research in statistics. Although there are many books on this topic there are relatively few that are well founded in the theoretical aspects. In Robust Cluster Analysis and Variable Selection Gunter Ritter presents... ... more

Providing a practical thorough understanding of how factor analysis works Foundations of Factor Analysis Second Edition discusses the assumptions underlying the equations and procedures of this method. It also explains the options in commercial... ... more

Design and Analysis of Cross-Over Trials is concerned with a specific kind of comparative trial known as the cross-over trial in which subjects receive different sequences of treatments. Such trials are widely used in clinical and medical research and... ... more

Our books are pre-loved which means they have been read before. We carefully check all our books and believe them to be in a - USED - VERY GOOD Condition condition. If you re not completely satisfied please get in touch & we ll be happy to help.... ... more

Multivariate Analysis of Variance and Repeated Measures: A Practical Approach for Behavioural Scientists (Chapman & Hall/CRC Texts in Statistical Science) by Hand David J.; Taylor C.C. ... more

This book not only examines the constructions and free-probabilistic properties of semicircular elements as defined within the text but also considers certain Banach-space operators acting on these semicircular elements and shows how they deform (i.e.... ... more