الصفحة 159
الصفحة 159
Beginning Database Design : From novice to professional
Beginning Database Design: From Novice to Professional provides short, easy-to-read explanations of how to get database design right the first time. Through the help of use cases and class diagrams modeled in the UML, youll learn how to discover and represent the details and scope of the problem in question.
Beginning CSS web development : From novice to professional
There are many books out there on CSS, but Beginning CSS Web Development is different—it doesn't waste time discussing theory, and it delves straight into the practical matter. It provides you with what you need to know, faster. It is also completely up to date, covering the most modern CSS standards and design techniques. In addition to the essential CSS basics, this book covers advanced techniques like accessibility, hacks, and filters. The book concludes with a case study, and features a CSS reference section that allows you to look up required syntax as quickly as possible.
Beginning Ajax with PHP : From novice to professional
Beginning Ajax with PHP: From Novice to Professional is the first book to introduce how these two popular technologies can work together to create next-generation applications. Author Lee Babin covers what you commonly encounter in daily web application development tasks.
Bearing Witness : Ruth Harrison and British Farm Animal Welfare (1920–2000)
This book is the biography of one of Britain’s foremost animal welfare campaigners and of the world of activism, science, and politics she inhabited. In 1964, Ruth Harrison’s bestseller Animal Machines triggered a gear change in modern animal protection by popularising the term ‘factory farming’ alongside a new way of thinking about animal welfare.
Bayesian reliability
Bayesian Reliability presents modern methods and techniques for analyzing reliability data from a Bayesian perspective. The adoption and application of Bayesian methods in virtually all branches of science and engineering have significantly increased over the past few decades. This increase is largely due to advances in simulation-based computational tools for implementing Bayesian methods. The authors extensively use such tools throughout this book, focusing on assessing the reliability of components and systems with particular attention to hierarchical models and models incorporating explanatory variables. Such models include failure time regression models, accelerated testing models, and degradation models. The authors pay special attention to Bayesian goodness-of-fit testing, model validation, reliability test design, and assurance test planning. Throughout the book, the authors use Markov chain Monte Carlo (MCMC) algorithms for implementing Bayesian analyses--algorithms that make the Bayesian approach to reliability computationally feasible and conceptually straightforward.
Bayesian networks and Influence diagrams : A guide to construction and analysis
Probabilistic networks, also known as Bayesian networks and influence diagrams, have become one of the most promising technologies in the area of applied artificial intelligence, offering intuitive, efficient, and reliable methods for diagnosis, prediction, decision making, classification, troubleshooting, and data mining under uncertainty. Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. Intended primarily for practitioners, this book does not require sophisticated mathematical skills or deep understanding of the underlying theory and methods nor does it discuss alternative technologies for reasoning under uncertainty.
Bayesian Networks and Decision Graphs
Probabilistic graphical models and decision graphs are powerful modeling tools for reasoning and decision making under uncertainty. As modeling languages they allow a natural specification of problem domains with inherent uncertainty, and from a computational perspective they support efficient algorithms for automatic construction and query answering. This includes belief updating, finding the most probable explanation for the observed evidence, detecting conflicts in the evidence entered into the network, determining optimal strategies, analyzing for relevance, and performing sensitivity analysis. The book introduces probabilistic graphical models and decision graphs, including Bayesian networks and influence diagrams.It contians two parts. The first part focuses on probabilistic graphical models. Compared with the previous book, the new edition also includes a thorough description of recent extensions to the Bayesian network modeling language, advances in exact and approximate belief updating algorithms, and methods for learning both the structure and the parameters of a Bayesian network. The second part deals with decision graphs, and in addition to the frameworks described in the previous edition, it also introduces Markov decision processes and partially ordered decision problems.
Bayesian Methods in the Search for MH370
This book demonstrates how nonlinear/non-Gaussian Bayesian time series estimation methods were used to produce a probability distribution of potential MH370 flight paths. It provides details of how the probabilistic models of aircraft flight dynamics, satellite communication system measurements, environmental effects and radar data were constructed and calibrated. The probability distribution was used to define the search zone in the southern Indian Ocean. The book describes particle-filter based numerical calculation of the aircraft flight-path probability distribution and validates the method using data from several of the involved aircraft’s previous flights. Finally it is shown how the Reunion Island flaperon debris find affects the search probability distribution.
Bayesian core : A practical approach to computational Bayesian statistics
This Bayesian modeling book provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical justifications. Special attention is paid to the derivation of prior distributions in each case and specific reference solutions are given for each of the models.
Bayesian computation with R : Introduces Bayesian modeling by use of computation using the R language
R's open source nature, free availability, and large number of contributor packages have made R the software of choice for many statisticians in education and industry. Bayesian Computation with R introduces Bayesian modeling by the use of computation using the R language.
Bauhaus effects in art, architecture, and design
Bringing together an international team of scholars, this book offers new perspectives on the impact that the Bauhaus and its teaching had on a wide range of artistic practices.
Battery management systems : Accurate state-of-charge indication for battery-powered applications
Builds further on the contents of the first volume in the Philips Research Book Series, Battery Management Systems - Design by Modelling. Since the subject of battery SoC indication requires a number of disciplines, this book covers all important disciplines starting from (electro)chemistry to understand battery behaviour, via mathematics to enable modelling of the observed battery behaviour and measurement science to enable accurate measurement of battery variables and assessment of the overall accuracy, to electrical engineering to enable an efficient implementation of the developed SoC indication system. It will therefore serve as an important source of information for any person working in engineering and involved in battery management.
Bathrooms and sanitation : Principles, design, implementation = Detail practice
Provides comprehensive information on the basic principles of contemporary sanitary planning, as well as detailed solutions for state of the art execution and fitting. A selection of successfully completed projects offers readers inspiration for their own work. Comprehensive design principles and planning tools. Examples of successful projects. Sanitary areas as a sign of quality when evaluating buildings. Renovation, modernisation and accessibility. Fittings, materials and lighting design
Basics of Aerothermodynamics
The discrete numerical methods of aerodynamics/aerothermodynamics permit now - what was twenty years ago not imaginable - the simulation of high speed flows past real flight vehicle configurations with thermo-chemical and viscous effects, the description of the latter being still handicapped by in sufficient flow-physics models.
Basics design and living
Residential Buildings are normally the first design projects encountered by the student in his or her training. The focus at this point is on the different conceptual possibilities that allow one to take the first step toward an actual idea. Themes: concepts and kinds of cohabitation and dwelling residential functions the creation of living space design in housing construction This book is intended to help readers to find an easy way into the complex subject of housing design, explaining fundamental concepts, the way the individual living areas can cohere, and building form variations.
Basic Python for Data Management, Finance, and Marketing : Advance Your Career by Learning the Most Powerful Analytical Tool
Learn how to gather, manipulate, and analyze data with Python. This book is a practical guide to help you get started with Python from ground zero and to the point where you can use coding for everyday tasks. Python is used in all aspects of financial industry, from algo trading, reporting and risk management to building valuations models and predictive machine learning programs. You will: Get started with Python from square one / Extend what's possible on excel with Python / Automate tasks with Python / Analyze data more precisely
Basic Probability Theory with Applications
This book presents elementary probability theory with interesting and well-chosen applications that illustrate the theory. An introductory chapter reviews the basic elements of differential calculus which are used in the material to follow. The theory is presented systematically, beginning with the main results in elementary probability theory. This is followed by material on random variables. Random vectors, including the all important central limit theorem, are treated next. The last three chapters concentrate on applications of this theory in the areas of reliability theory, basic queuing models, and time series. Examples are elegantly woven into the text and over 400 exercises reinforce the material and provide students with ample practice.
Basic principles of drug discovery and development ; 2nd ed.
Presents the multifaceted process of identifying a new drug in the modern era, which requires a multidisciplinary team approach with input from medicinal chemists, biologists, pharmacologists, drug metabolism experts, toxicologists, clinicians, and a host of experts from numerous additional fields. Enabling technologies such as high throughput screening, structure-based drug design, molecular modeling, pharmaceutical profiling, and translational medicine are critical to the successful development of marketable therapeutics. Given the wide range of disciplines and techniques that are required for cutting edge drug discovery and development, a scientist must master their own fields as well as have a fundamental understanding of their collaborator’s fields.
Basic methods and protocols on Sourdough
Details traditional and modern approaches to characterize sourdough and to monitor its features during production, propagation and use, through state-of- the art analytical tools. Chapters guide reader through procedures to prepare and propagate the mature sourdough, to analyse and monitor microbiological, biochemical and rheology features of sourdough, sensory, and nutritional attributes of baked goods. Written in the format of the Methods and Protocols in Food Science series, chapters list necessary materials and methods for readily reproducible protocols.
Basic knowledge of pharmacology
Concise and up-to-date coverage of the most important drugs Integration of experimental and clinical pharmacology with focus on diseases Discusses the most important drugs (400) in the context of relevant diseases. Summary tables and schemes, MCQ exam questions, case studies and a list of drugs aid memorization of the material before an exam. All chapters are written in the same concise style and use a modern and precise pharmacological nomenclature. After reading of the book, the student will be able to critically assess the proper use of the most important drugs and advise patients properly. The didactic concept of the book has been developed on the author’s own pharmacology courses for which he has received numerous teaching awards. The book takes advantage of the learning spiral, in which material is presented repeatedly from various angles.
