Spatial Data Analysis

In recent years, there have been tremendous achievements made in DNA sequencing technologies and corresponding innovations in data analysis and bioinformatics that have revolutionized the field of gen

The need for data analysis is increasing day by day, Harvard Business Review (HBR) states that “Data Scientist: The sexiest job of the 21st century”, there are many statistical analysis software’s ava

Risk has always been central to finance, and managing risk depends critically on information. As evidenced by recent events, the need has never been greater for skills, systems and methodologies to manage risk information in financial markets. Authored by leading figures in risk management and analysis, this handbook serves as a unique and comprehensive reference for the technical, operational, regulatory and political issues in collecting, measuring and managing financial data. It will appeal to a wide range of audiences, from financial industry practitioners and regulators responsible for implementing risk management systems, to system integrators and software firms helping to improve such systems. Volume 1 examines the business and regulatory context that makes risk information so important. Volume 2 describes a structural and operational framework for managing a financial risk data repository.

Risk has always been central to finance, and managing risk depends critically on information. As evidenced by recent events, the need has never been greater for skills, systems and methodologies to manage risk information in financial markets. Authored by leading figures in risk management and analysis, this handbook serves as a unique and comprehensive reference for the technical, operational, regulatory and political issues in collecting, measuring and managing financial data. It is targeted towards a wide range of audiences, from financial industry practitioners and regulators responsible for implementing risk management systems, to system integrators and software firms helping to improve such systems. Volume 2 describes a structural and operational framework for managing a financial risk data repository. As experience accumulates on managing modern risk systems, the knowledge base of practical lessons grows. Understanding these issues and leading practices may mean the difference b

Drawing on recent "event history" analytical methods from biostatistics, engineering, and sociology, this book explains how longitudinal data can be used to study the causes of deaths, crimes, wars, a

Longitudinal data analysis and survival analysis are among the fastest expanding areas of statistics and biostatistics in the past thirty years. There has been a rapidly growing interest in joint mode

The growing success of molecular methods has challenged traditional views of animal evolution and a large number of alternative hypotheses are hotly debated today. For the deep metazoan phylogeny proj

Well-known for its nontechnical style, this popular survival analysis textbook has been brought up to date with modern statistical techniques for handling survival data as well as new data sets and ex

A practical cookbook packed with recipes to help developers produce data cubes as quickly as possible by following step by step instructions, rather than explaining data mining concepts with SSAS. If

"This book highlights entirely new and detailed spatial-temporal micro-simulation methodologies for human mobility and the emerging dynamics of our society, offering novel ideas grounded in big data f

Since the clarification of the human genome, the massive accumulation of data makes it necessary to design computer models to evaluate genetic and epigenetic characteristics in terms of healthy and pa

Providing the knowledge and practical experience to begin analysing scientific data, this book is ideal for physical sciences students wishing to improve their data handling skills. The book focuses on explaining and developing the practice and understanding of basic statistical analysis, concentrating on a few core ideas, such as the visual display of information, modelling using the likelihood function, and simulating random data. Key concepts are developed through a combination of graphical explanations, worked examples, example computer code and case studies using real data. Students will develop an understanding of the ideas behind statistical methods and gain experience in applying them in practice. Further resources are available at www.cambridge.org/9781107607590, including data files for the case studies so students can practise analysing data, and exercises to test students' understanding.

Providing the knowledge and practical experience to begin analysing scientific data, this book is ideal for physical sciences students wishing to improve their data handling skills. The book focuses on explaining and developing the practice and understanding of basic statistical analysis, concentrating on a few core ideas, such as the visual display of information, modelling using the likelihood function, and simulating random data. Key concepts are developed through a combination of graphical explanations, worked examples, example computer code and case studies using real data. Students will develop an understanding of the ideas behind statistical methods and gain experience in applying them in practice. Further resources are available at www.cambridge.org/9781107607590, including data files for the case studies so students can practise analysing data, and exercises to test students' understanding.

NHTSA’s National Center for Statistics and Analysis (NCSA) conducted the Tire Pressure Special Study (TPSS). The TPSS was designed to assess to what extent passenger vehicle operators are aware of the

Bluetooth technology has enjoyed tremendous success, and it's now employed in billions of devices for short-range wireless data and real-time audio or video transfer. In this book the authors provide

"This book discusses the exponential growth of information size and the innovative methods for data capture, storage, sharing, and analysis for big data"--

Mobility of people and goods is essential in the global economy. The ability to track the routes and patterns associated with this mobility offers unprecedented opportunities for developing new, smarter applications in different domains. Much of the current research is devoted to developing concepts, models, and tools to comprehend mobility data and make it manageable for these applications. This book surveys the myriad facets of mobility data, from spatio-temporal data modeling, to data aggregation and warehousing, to data analysis, with a specific focus on monitoring people in motion (drivers, airplane passengers, crowds, and even animals in the wild). Written by a renowned group of worldwide experts, it presents a consistent framework that facilitates understanding of all these different facets, from basic definitions to state-of-the-art concepts and techniques, offering both researchers and professionals a thorough understanding of the applications and opportunities made possible b

Rasch Analysis in the Human Sciences helps individuals, both students and researchers, master the key concepts and resources needed to use Rasch techniques for analyzing data from assessments to measu

Proper analysis of image and multimedia data requires efficient extraction and segmentation techniques. Among the many computational intelligence approaches, the soft computing paradigm is best equipp

The challenge behind the processing of digital images is the huge amounts of data that has to be processed in an extremely short period of time. This book is a broad-ranging technical survey of comput

Canadian society differs from the US - in particular, a central theme is the problem of reconciling Quebec nationalist aspirations within the economic union of Canada and its English speaking majority

This guide details the use of the data analysis software R in political science. It explains the use of R for constructing descriptions of variables and performing substantive analysis of political re

?This book presents a scientific discussion of the state-of-the-art techniques and designs for the modeling, testing and performance analysis of data converters. It presents the outcome of the IWADC w

Explains how to use data analysis and data driven marketing to better understand a customer base, develop smarter marketing strategies, and accurately measure the impact of marketing campaigns.

The burgeoning field of data analysis is expanding at an incredible pace due to the proliferation of data collection in almost every area of science. The enormous data sets now routinely encountered i

The burgeoning field of data analysis is expanding at an incredible pace due to the proliferation of data collection in almost every area of science. The enormous data sets now routinely encountered i

A collaborative effort between a leading academician who has laid foundation to the spatial data mining and a research scientist from a prestigious national laboratory who has over a decade of interdi

Handbook of Survival Analysis presents modern techniques and research problems in lifetime data analysis. This area of statistics deals with time-to-event data that is complicated by censoring and the

Due to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniques and applications in the area of missing data analysis. Statistical Methods fo

How do scholars transform qualitative data into analysis? What does making analysis imply? What happens in the space in-between data and finalized analysis is notoriously difficult to talk about. In o

The massive amount of nonstandard high-dimensional brain imaging data being generated is often difficult to analyze using current techniques. This challenge in brain image analysis requires new comput

This book covers both fundamental and practical aspects of chemical analysis: Data Process and Analysis; Chemical Equilibria and Volumetric titraitons; Gravimetry; Spectrophotometry; Sample Preparatio

3D Face Modeling, Analysis and Recognition presents methodologies for analyzing shapes of facial surfaces, develops computational tools for analyzing 3D face data, and illustrates them using state-of-

This book presents the statistical analysis of compositional data sets, i.e., data in percentages, proportions, concentrations, etc. The subject is covered from its grounding principles to the practic

Careful analysis of data is becoming more and more critical in business. Across large businesses such as Google, Netflix, and Amazon, large amounts of data are gathered on matters such as customer beh

In biostatistical research and courses, practitioners and students often lack a thorough understanding of how to apply statistical methods to synthesize biomedical and clinical trial data. Filling thi

This book discusses the typical Intelligent Audio Analysis chain running from audio data to features to recognition. Offers several applications in speech, music, and general sound, plus benchmark res

A biostatistician at the City of Hope National Medical Center in California's Los Angeles County, Li also teaches part time and gives seminars on DATA step programming and statistical analysis using t

This book focuses on bistatic SAR signal processing, mainly on imaging aspects. Topics include bistatic SAR resolution analysis, echo generation methods, imaging algorithms, imaging parameters estimat

Against the background of European legal framework, this book offers a comprehensive analysis of the concept of consent in data protection, with a special focus on the field of electronic communicatio