Java Data Object

Survival data or more general time-to-event data occur in many areas, including medicine, biology, engineering, economics, and demography, but previously standard methods have requested that all time

Data Communications and Networks uses a top-down, Internet-focussed approach to tackle the problem of communication system design. An integrated approach is taken to networks and data communications,

Originally published in 2002, this book presents techniques in the application of formal methods to object-based distributed systems. A major theme of the book is how to formally handle the requirements arising from OO distributed systems, such as dynamic reconfiguration, encapsulation, subtyping, inheritance, and real-time aspects. These may be supported either by enhancing existing notations, such as UML, LOTOS, SDL and Z, or by defining fresh notations, such as Actors, Pi-calculus and Ambients. The major specification notations and modelling techniques are introduced and compared by leading researchers. The book also includes a description of approaches to the specification of non-functional requirements, and a discussion of security issues. Researchers and practitioners in software design, object-oriented computing, distributed systems, and telecommunications systems will gain an appreciation of the relationships between the major areas of concerns and learn how the use of object-o

Java has taken the computing world by storm - now it arms itself to conquer telecommunications! What links today's hottest programming language to telecommunications? The same characteristics that bro

This book is an easy, concise but fairly complete introduction to ISO/ANSI C++ with special emphasis on object-oriented numeric computation. A user-defined numeric linear algebra library accompanies t

This book is a concise and modern treatment of introductory database topics that enlists Java and the Internet to present core DBMS theory from an applications perspective. It incorporates programming

This book provides a comprehensive treatment of linear mixed models for continuous longitudinal data. Next to model formulation, this edition puts major emphasis on exploratory data analysis for all a

Object-oriented (OO) technology is an integral part of computer communications and multimedia service provisioning. Covering all areas related to OO programming in telecommunications applications, thi

Improve clinical performance and demonstrate value to health care purchasers and insurers by becoming a "data detective" within your organization. Health Data Quest is the practical guide to the most

More than ever, mission-critical and business-critical applications depend on object-oriented (OO) software. Testing techniques tailored to the unique challenges of OO technology are necessary to achi

Ordinal Data Modeling is a comprehensive treatment of ordinal data models from both likelihood and Bayesian perspectives. A unique feature of this text is its emphasis on applications. All models deve

This collection of papers, written over the last six years by Robert Caper, focuses on the importance of distinguishing self from object in psychological development.Robert Caper demonstrates the impo

Written by one of the best known object-oriented practitioners in the business, Process Patterns is based on proven, real-world techniques. Scott Ambler shows readers how to deliver successfully large-scale applications using object technology, and he carefully describes how one develops applications that are truly easy to maintain and to enhance. He shows how such projects can be maintained, and points out what is necessary to ensure that one's development efforts are of the best quality. The object-oriented software process (OOSP) that he presents is geared toward medium to large-size organizations who need to develop software internally to support their main line of business. Developers and project managers who have just taken their first OO development course will find this book essential. It describes the only OOSP to take the true needs of development into consideration, including cross-project maintenance operations, and support issues. This book uses the Unified Modeling Langua

Most books on data structures assume an imperative language like C or C++. However, data structures for these languages do not always translate well to functional languages such as Standard ML, Haskell, or Scheme. This book describes data structures from the point of view of functional languages, with examples, and presents design techniques so that programmers can develop their own functional data structures. It includes both classical data structures, such as red-black trees and binomial queues, and a host of new data structures developed exclusively for functional languages. All source code is given in Standard ML and Haskell, and most of the programs can easily be adapted to other functional languages. This handy reference for professional programmers working with functional languages can also be used as a tutorial or for self-study.

Drawing together an international group of scholars from a variety of disciplinary and cultural backgrounds, Colonialism and the Object explores the impact of colonial contact with other cultures on t

Intended for both novice and experienced Java programmers, this is volume 2 of the two volumes that comprise this reference in its second edition. (The publisher reports that volume 1 will be availabl

Two concepts, in the interface of the philosophy of mind and formal ontology, content and object of presentations are central to the origin of both analytic philosophy and phenomenology around 1900.

What can emission lines tell us about an astrophysical object? A workshop at the Space Telescope Science Institute was dedicated to address just this question – for a host of objects (including planetary nebulae and active galactic nuclei) across a broad range of wavelengths (from the infrared through to gamma-rays). Thirteen review articles from internationally renowned experts are presented in this volume. They provide an edited and coherent overview of the latest technical data, techniques in and applications of the study of emission lines from a variety of objects. Chapters include the theory of radiative transfer, photoionising shocks, and emission lines from stellar winds, as well as useful summaries of abundance determinations, atomic data, and diagnostics for IR, UV, gamma-ray and molecular lines. Together these review articles provide an overview of the analysis of emission lines. They summarise current knowledge, highlight outstanding problems and provide focus for fruitful f

Manufacturing Data Structures "Comprehensive yet easy-to-read.Manufacturing Data Structures is filled with anecdotes, yet stresses the importance of maintaining data accuracy. It is valuable reading f

Presents techniques for making data from the social sciences accessible to nontechnical audiences. Discusses insights from visual perception research relating to graphing data, and explores graphs for

Brings together the most important contributions to the development of the theory of object-oriented programming to date, focusing in particular on how advances in type systems and semantic models can

Architect?s Room Design Data Handbook Fred A. Stitt If you?re like most architectural interior designers, you spend 30% or more of your time on room data research. Here?s a source of information that

Data Fitting in the Chemical Sciences Peter Gans, School of Chemistry, The University of Leeds, Leeds, UK Data fitting is a technique of central importance in modern experimental science. It is the me

This book provides an overview of the central issues of data quality in longitudinal research, with a focus on data relevant for studying individual development. Topics covered include reliability, validity, sampling, aggregation, and the correspondence between theory and method; more specific, practical issues in longitudinal research, such as the drop-out problem and issues of confidentiality are also addressed. The volume is the result of an interdisciplinary endeavour by leading European scientists to discuss appropriate ways of handling various types of longitudinal data, including psychiatric data, alcohol data, and criminal data.

In this important new book, the noted theoretician Fred Pine provides a synthesis of the four conceptual domains of psychoanalysis: drives, ego functioning, object relations, and self experience. He a

The Statistical Analysis of Discrete Data provides an up-to-date introduction to methods for analyzing discrete data. The text covers both single-sample problems and problems with structured means whi

The authors' treatment of data structures in Data Structures and Algorithms is unified by an informal notion of "abstract data types," allowing readers to compare different implement

Who, if anyone, should regulate the internet? Governments around the world have answered this question robustly: they will. Digital sovereignty--the exercise of control over the internet--is the ambition of world leaders as a natural extension of traditional sovereignty and as a bulwark against the reach of foreign power. The question posed to governments now is not who should regulate the internet, but how should it be done. Data Sovereignty: From the Digital Silk Road to the Return of the State focuses on the question of territorial control over data flows and attempts by national and regional governments to place limits on the free movement of data across a global internet. Drawing on theories in political economy, international law, human rights, and data protection, this volume offers new theoretical perspectives and thought-provoking ideas about the nature and scope of digital sovereignty. It examines the extent to which new technologies, such as artificial intelligence, robotics

Designed for advanced undergraduate or non-major graduate students in Advanced Statistical Modeling or Regression II as well as courses on Generalized Linear Models, Longitudinal Data Analysis, Correl

This book analyses the phenomenon of digitally mediated property and considers how it problematises the boundary between human and nonhuman actors. The book addresses the increasingly porous border between personhood and property in digitized settings and considers how the increased commodification of knowledge makes visible a rupture in the liberal concept of the property owning, free, person. Engaging with the latest work in posthumanist and new materialist theory, it shows, how property as a concept as well as a means for control, changes fundamentally under advanced capitalism.Such change is exemplified by the way in which data, as an object of commodification, is extracted from human activities yet is also directly used to affectively control - or nudge - humans. Taking up a range of human engagements with digital platforms and coded architectures, as well as the circulation of affects through practices of artificial intelligence that are employed to shape behaviour, the book argu

This text provides deep and comprehensive coverage of the mathematical background for data science, including machine learning, optimal recovery, compressed sensing, optimization, and neural networks. In the past few decades, heuristic methods adopted by big tech companies have complemented existing scientific disciplines to form the new field of Data Science. This text embarks the readers on an engaging itinerary through the theory supporting the field. Altogether, twenty-seven lecture-length chapters with exercises provide all the details necessary for a solid understanding of key topics in data science. While the book covers standard material on machine learning and optimization, it also includes distinctive presentations of topics such as reproducing kernel Hilbert spaces, spectral clustering, optimal recovery, compressed sensing, group testing, and applications of semidefinite programming. Students and data scientists with less mathematical background will appreciate the appendice

Data assimilation is a hugely important mathematical technique, relevant in fields as diverse as geophysics, data science, and neuroscience. This modern book provides an authoritative treatment of the field as it relates to several scientific disciplines, with a particular emphasis on recent developments from machine learning and its role in the optimisation of data assimilation. Underlying theory from statistical physics, such as path integrals and Monte Carlo methods, are developed in the text as a basis for data assimilation, and the author then explores examples from current multidisciplinary research such as the modelling of shallow water systems, ocean dynamics, and neuronal dynamics in the avian brain. The theory of data assimilation and machine learning is introduced in an accessible and unified manner, and the book is suitable for undergraduate and graduate students from science and engineering without specialized experience of statistical physics.

Chunyan Li is a course instructor with many years of experience in teaching about time series analysis. His book is essential for students and researchers in oceanography and other subjects in the Earth sciences, looking for a complete coverage of the theory and practice of time series data analysis using MATLAB. This textbook covers the topic's core theory in depth, and provides numerous instructional examples, many drawn directly from the author's own teaching experience, using data files, examples, and exercises. The book explores many concepts, including time; distance on Earth; wind, current, and wave data formats; finding a subset of ship-based data along planned or random transects; error propagation; Taylor series expansion for error estimates; the least squares method; base functions and linear independence of base functions; tidal harmonic analysis; Fourier series and the generalized Fourier transform; filtering techniques: sampling theorems: finite sampling effects; wavelet

This book brings together papers that offer conceptual analyses, highlight issues, propose solutions, and discuss practices regarding privacy, data protection and enforcing rights in a changing world. It is one of the results of the 14th annual International Conference on Computers, Privacy and Data Protection (CPDP), which took place online in January 2021. The pandemic has produced deep and ongoing changes in how, when, why, and the media through which, we interact.Many of these changes correspond to new approaches in the collection and use of our data - new in terms of scale, form, and purpose. This raises difficult questions as to which rights we have, and should have, in relation to such novel forms of data processing, the degree to which these rights should be balanced against other poignant social interests, and how these rights should be enforced in light of the fluidity and uncertainty of circumstances. The book covers a range of topics, such as: digital sovereignty; art and a

Statistical Methods for Reliability Data, Second Edition (SMRD2) is an essential guide to the most widely used and recently developed statistical methods for reliability data analysis and reliability test planning. Written by three experts in the area, SMRD2 updates and extends the long- established statistical techniques and shows how to apply powerful graphical, numerical, and simulation-based methods to a range of applications in reliability. SMRD2 is a comprehensive resource that describes maximum likelihood and Bayesian methods for solving practical problems that arise in product reliability and similar areas of application. SMRD2 illustrates methods with numerous applications and all the data sets are available on the book’s website. Also, SMRD2 contains an extensive collection of exercises that will enhance its use as a course textbook.The SMRD2's website contains valuable resources, including R packages, Stan model codes, presentation slides, technical notes, information about

Designed as a textbook for a one or two-term introduction to mathematical statistics for students training to become data scientists, Foundations of Statistics for Data Scientists: With R and Python is an in-depth presentation of the topics in statistical science with which any data scientist should be familiar, including probability distributions, descriptive and inferential statistical methods, and linear modelling. The book assumes knowledge of basic calculus, so the presentation can focus on 'why it works' as well as 'how to do it.' Compared to traditional "mathematical statistics" textbooks, however, the book has less emphasis on probability theory and more emphasis on using software to implement statistical methods and to conduct simulations to illustrate key concepts. All statistical analyses in the book use R software, with an appendix showing the same analyses with Python.The book also introduces modern topics that do not normally appear in mathematical statistics texts but ar

The most fascinating and profitable subject of predictive algorithms is the human actor. Analysing big data through learning algorithms to predict and pre-empt individual decisions gives a powerful tool to corporations, political parties and the state. Algorithmic analysis of digital footprints, as an omnipresent form of surveillance, has already been used in diverse contexts: behavioural advertising, personalised pricing, political micro-targeting, precision medicine, and predictive policing and prison sentencing. This volume brings together experts to offer philosophical, sociological, and legal perspectives on these personalised data practices. It explores common themes such as choice, personal autonomy, equality, privacy, and corporate and governmental efficiency against the normative frameworks of the market, democracy and the rule of law. By offering these insights, this collection on data-driven personalisation seeks to stimulate an interdisciplinary debate on one of the most pe

Jer Thorp's analysis of the word "data" in 10,325 New York Times stories written between 1984 and 2018 shows a distinct trend: among the words most closely associated with "data," we find not only its

GDPR: Personal Data Protection in the European UnionMariusz KrzysztofekPersonal data protection has become one of the central issues in any understanding of the current world system. In this connection, the European Union (EU) has created the most sophisticated regime currently in force with the General Data Protection Regulation (GDPR) (EU) 2016/679. Following the GDPR's recent reform - the most extensive since the first EU laws in this area were adopted and implemented into the legal orders of the Member States - this book offers a comprehensive discussion of all principles of personal data processing, obligations of data controllers, and rights of data subjects, providing a thorough, up-to-date account of the legal and practical aspects of personal data protection in the EU.Coverage includes the recent Court of Justice of the European Union (CJEU) judgment on data transfers and new or updated data protection authorities' guidelines in the EU Member States. Among the broad spectrum o