Statistics is quickly becoming the most important and multi-disciplinary field of mathematics. According to the American Statistical Association, statistician is one of the top ten fastest-growing occupations and statistics is one of the fastest-growing bachelor degrees. Statistical literacy is essential to our data driven society.
Despite the ...
Cosmos DB is a NoSQL database service included in Azure that is continuously adding new features and has quickly become one of the most innovative services found in Azure, targeting mission-critical applications at a global scale. This book starts off by showing you the main features of Cosmos DB, their supported NoSQL data models and the foundatio...
Bayesian methods for statistical analysis is a book on statistical methods for analysing a wide variety of data. The book consists of 12 chapters, starting with basic concepts and covering numerous topics, including Bayesian estimation, decision theory, prediction, hypothesis testing, hierarchical models, Markov chain Monte Carlo methods, finite po...
This open book is intended to assist teachers, teacher trainers, curriculum designers, editors and authors of textbooks in developing strategies to teach the multiplication of natural numbers based on the experience of the Lesson Study in Japan. This approach to mathematics education dates back to the 1870s and reconciles the emphasis on problem so...
This open book offers up-to-date advice and practical guidance on how to undertake a discrete choice experiment as a tool for environmental valuation. It discusses crucial issues in designing, implementing and analysing choice experiments. Compiled by leading experts in the field, the book promotes discrete choice analysis in environmental valuatio...
This open book explores how biometric data is increasingly flowing across borders in order to limit, control and contain the mobility of selected people, namely criminalized populations. It introduces the concept of bio-bordering, using it to capture reverse patterns of bordering and ordering practices linked to transnational biometric data exchang...
This open book is an outcome of the collaboration between the Soil and Water Management & Crop Nutrition Section, Joint FAO/IAEA Division of Nuclear Techniques in Food and Agriculture, Department of Nuclear Sciences and Applications, International Atomic Energy Agency (IAEA), Vienna, Austria, and the German Science Foundation research unit DASI...
This open book focuses on the discrepancies in biobank research regulations that are among the most significant hurdles to effective research collaboration. The General Data Protection Regulation (GDPR) has established stringent requirements for the processing of health and genetic data, while simultaneously allowing considerable multi-level except...
This open book reviews the water-agro-food and socio-eco-system of the Seine River basin (76,000 km2), and offers a historical perspective on the river's long-term contamination. The Seine basin is inhabited by circa 17 million people and is impacted by intensive agricultural practices and industrial activities. These pressures have gradually ...
This open methodological book summarises existing analysing techniques using data from PIAAC, a study initiated by the OECD that assesses key cognitive and occupational skills of the adult population in more than 40 countries. The approximately 65 PIAAC datasets that has been published worldwide to date has been widely received and used by an inter...
This open access book is the first published guide about how to analyse data produced by the EQ-5D, one of the most widely used Patient Reported Outcomes questionnaires world wide. The authors provide practical, clear and comprehensive guidance in five concise chapters. Following an overview of the EQ-5D and its analysis, we describe how the questi...
This groundbreaking, open volume analyses and compares data practices across several fields through the analysis of specific cases of data journeys. It brings together leading scholars in the philosophy, history and social studies of science to achieve two goals: tracking the travel of data across different spaces, times and domains of research pra...
This open book assembles landmark studies on divorce and separation in European countries, and how this affects the life of parents and children. It focuses on four major areas of post-separation lives, namely (1) economic conditions, (2) parent-child relationships, (3) parent and child well-being, and (4) health. Through studies from several Europ...
This open book, edited and authored by a team of world-leading researchers, provides a broad overview of advanced photonic methods for nanoscale visualization, as well as describing a range of fascinating in-depth studies. Introductory chapters cover the most relevant physics and basic methods that young researchers need to master in order to work ...
This open book provides an empirical account of the psychological and social experiences of 3500 African migrants to 6 European countries: Germany, Spain, Italy, The Netherlands, France, and the UK. It discusses the psychosocial motivations for migration from Africa, who migrates where, and stressful pre- and post-migration factors affecting the so...
This open book presents a collection of the most up-to-date research results in the field of steel development with a focus on pioneering alloy concepts that result in previously unattainable materials properties. Specifically, it gives a detailed overview of the marriage of high-performance steels of the highest strength and form-ability with dama...
Though sometimes perceived as a hurdle, testing can save developers from heartbreak in the long run. In Angular Testing Succinctly, author Joseph D. Booth provides a quick introduction to different tools and approaches to testing Angular projects to make them higher quality from the start and easier to maintain down the road. Topics covered include...
Azure Pipelines, a component of the Azure DevOps suite, helps software development teams manage building, testing, and deploying their products. In Azure Pipelines Succinctly, author Antonio Liccardi covers the basics of what a pipeline is and what it can do before providing a thorough rundown of Azure Pipelines in action. From creating your first ...
The audience for this guide is mainly developers, development leads, and architects who are interested in building modern web applications using Microsoft technologies and services in the cloud.
A secondary audience is technical decision makers who are already familiar ASP.NET or Azure and are looking for information on whether it makes sense to...
This book integrates the vital areas of object-orientation, functional programming, design patterns, and language design. The most important concepts from functional programming are captured with six design patterns: FUNCTION OBJECTS (Black-box behaviour parameterisation) LAZY OBJECTS (Evaluation-by-need semantics) VALUE OBJECTS (Immutable values) ...
Durable Functions is an Azure Functions extension that implements triggers and bindings that abstract and manage state persistence. Using Durable Functions, you can easily create stateful objects entirely managed by the extension. Azure Durable Functions Succinctly author Massimo Bonanni will take readers from a recap of Azure Functions through Dur...
The purpose of the 3rd edition of this book is to give a sound and self-contained (in the sense that the necessary probability theory is included) introduction to classical or mainstream statistical theory. It is not a statistical-methods-cookbook, nor a compendium of statistical theories, nor is it a mathematics book. The book is intended to be a ...
When working on Xamarin.Forms projects, developers tend to replicate elements among projects or need to build common views that are not included in the Xamarin.Forms code base. Microsoft's Xamarin Community Toolkit simplifies reusing elements across projects with an open-source collection of reusable elements for mobile development. By the end...
Lecture notes for the Yale Computer Science course CPSC 469/569 Randomized Algorithms. Suitable for use as a supplementary text for an introductory graduate or advanced undergraduate course on randomized algorithms. Discusses tools from probability theory, including random variables and expectations, union bound arguments, concentration bounds, app...
Introductory statistics courses prepare students to think statistically but cover relatively few statistical methods. Building on the basic statistical thinking emphasized in an introductory course, a second course in statistics at the undergraduate level can explore a large number of statistical methods. This text covers more advanced graphical su...
Introduction to Financial Mathematics: Concepts and Computational Methods serves as a primer in financial mathematics with a focus on conceptual understanding of models and problem solving. It includes the mathematical background needed for risk management, such as probability theory, optimization, and the like. The goal of the book is to expose th...
The GNU Debugger allows you to see what is going on "inside" a program while it executes - or what a program was doing at the moment it crashed. GDB supports C, C++, Java, Fortran and Assembly among other languages; it is also designed to work closely with the GNU Compiler Collection (GCC). The GNU Debugger Program has four special featur...
A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms.
This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in machine learning while providing the theoretical basi...
The way a user might perceive and use data and the optimal way a computer system might store it are often very different. In this Database Design Succinctly, learn how to model the user's information into data in a computer database system in such a way as to allow the system to produce useful results for the end user. Joseph D. Booth will cov...
A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them.
Automated decision-making systems or decision-support systems - used in applications that range from aircraft collision avoidance to breast cancer screening - must be designed...
This course is organized around algorithmic issues that arise in machine learning. Modern machine learning systems are often built on top of algorithms that do not have provable guarantees, and it is the subject of debate when and why they work. In this class, we focus on designing algorithms whose performance we can rigorously analyze for fundamen...
Building on her earlier work, The Power of Music: A Research Synthesis of the Impact of Actively Making Music on the Intellectual, Social and Personal Development of Children and Young People, this volume by Susan Hallam and Evangelos Himonides is an important new resource in the field of music education, practice, and psychology. A well signposted...