This book presents a comprehensive survey of the Vesta system for software configuration management (SCM). Vesta, unlike other SCM systems, is specifically designed to handle very large software projects comprising tens of millions of lines of code and beyond. Researchers in the field of software engineering and specialists in the construction of software development tools will especially benefit from this work, but it will also appeal to those responsible for designing and deploying configuration management solutions for large software systems.

Three important but hard-to-achieve properties lie at the heart of Vesta's unique approach to software configuration management:

Every build is repeatable

Every build is incremental

Every build is consistent

To realize these properties in a practical SCM system, Vesta provides a novel repository to store the versions of the files that make up an evolving software system and a flexible language for writing modular configuration descriptions that define how the system is put together. This book explains in depth these facilities and the suite of tools that supports them, together with a methodology for applying them in practice.

Readers who seek more information about Vesta may download the entire system as well as other publications, reference documents, and user documentation from the Vesta home page at http: //www.vestasys.org.

Multilevel and Longitudinal Modeling with IBM SPSS, Third Edition, demonstrates how to use the multilevel and longitudinal modeling techniques available in IBM SPSS Versions 25-27. Annotated screenshots with all relevant output provide readers with a step-by-step understanding of each technique as they are shown how to navigate the program. Throughout, diagnostic tools, data management issues, and related graphics are introduced. SPSS commands show the flow of the menu structure and how to facilitate model building, while annotated syntax is also available for those who prefer this approach. Extended examples illustrating the logic of model development and evaluation are included throughout the book, demonstrating the context and rationale of the research questions and the steps around which the analyses are structured. The book opens with the conceptual and methodological issues associated with multilevel and longitudinal modeling, followed by a discussion of SPSS data management techniques that facilitate working with multilevel, longitudinal, or cross-classified data sets. The next few chapters introduce the basics of multilevel modeling, developing a multilevel model, extensions of the basic two-level model (e.g., three-level models, models for binary and ordinal outcomes), and troubleshooting techniques for everyday-use programming and modeling problems along with potential solutions. Models for investigating individual and organizational change are next developed, followed by models with multivariate outcomes and, finally, models with cross-classified and multiple membership data structures. The book concludes with thoughts about ways to expand on the various multilevel and longitudinal modeling techniques introduced and issues (e.g., missing data, sample weights) to keep in mind in conducting multilevel analyses. Key features of the third edition: Thoroughly updated throughout to reflect IBM SPSS Versions 26-27. Introduction to fixed-effects regression for examining change over time where random-effects modeling may not be an optimal choice. Additional treatment of key topics specifically aligned with multilevel modeling (e.g., models with binary and ordinal outcomes). Expanded coverage of models with cross-classified and multiple membership data structures. Added discussion on model checking for improvement (e.g., examining residuals, locating outliers). Further discussion of alternatives for dealing with missing data and the use of sample weights within multilevel data structures. Supported by online data sets, the book's practical approach makes it an essential text for graduate-level courses on multilevel, longitudinal, latent variable modeling, multivariate statistics, or advanced quantitative techniques taught in departments of business, education, health, psychology, and sociology. The book will also prove appealing to researchers in these fields. The book is designed to provide an excellent supplement to Heck and Thomas's An Introduction to Multilevel Modeling Techniques, Fourth Edition; however, it can also be used with any multilevel or longitudinal modeling book or as a stand-alone text.

This first book in the series will describe the Net Generation as visual learners who thrive when surrounded with new technologies and whose needs can be met with the technological innovations. These new learners seek novel ways of studying, such as collaborating with peers, multitasking, as well as use of multimedia, the Internet, and other Information and Communication Technologies. Here we present mathematics as a contemporary subject that is engaging, exciting and enlightening in new ways. For example, in the distributed environment of cyber space, mathematics learners play games, watch presentations on YouTube, create Java applets of mathematics simulations and exchange thoughts over the Instant Messaging tool. How should mathematics education resonate with these learners and technological novelties that excite them?

This is a fully revised edition of the best-selling Introduction to Maple. The book presents the modern computer algebra system Maple, teaching the reader not only what can be done by Maple, but also how and why it can be done. The book also provides the necessary background for those who want the most of Maple or want to extend its built-in knowledge. Emphasis is on understanding the Maple system more than on factual knowledge of built-in possibilities. To this end, the book contains both elementary and more sophisticated examples as well as many exercises. The typical reader should have a background in mathematics at the intermediate level. Andre Heck began developing and teaching Maple courses at the University of Nijmegen in 1987. In 1989 he was appointed managing director of the CAN Expertise Center in Amsterdam. CAN, Computer Algebra in the Netherlands, stimulates and coordinates the use of computer algebra in education and research. In 1996 the CAN Expertise Center was integrated into the Faculty of Science at the University of Amsterdam, into what became the AMSTEL Institute. The institute program focuses on the innovation of computer activities in mathematics and science education on all levels of education. The author is actively involved in the research and development aimed at the integrated computer learning environment Coach for mathematics and science education at secondary school level.

SAS Programming: The One-Day Course provides a concise introduction to the SAS programming language that gives readers not only a quick start in SAS programming, but also in the basic data manipulations and statistical summaries that are available through SAS. Unlike other introductory texts on the market, this is a pocket-sized reference that does not clutter the presentation of programming techniques by trying to teach statistical methods at the same time. Strong on explanations of how to carry out data manipulations that real-life data often call for, it also contains a short "workbook" appendix, complete with solutions. Datasets and the programming code are available to download from the Web.

Economists can use computer algebra systems to manipulate symbolic models, derive numerical computations, and analyze empirical relationships among variables. Maxima is an open-source multi-platform computer algebra system that rivals proprietary software. Maxima's symbolic and computational capabilities enable economists and financial analysts to develop a deeper understanding of models by allowing them to explore the implications of differences in parameter values, providing numerical solutions to problems that would be otherwise intractable, and by providing graphical representations that can guide analysis. This book provides a step-by-step tutorial for using this program to examine the economic relationships that form the core of microeconomics in a way that complements traditional modeling techniques. Readers learn how to phrase the relevant analysis and how symbolic expressions, numerical computations, and graphical representations can be used to learn from microeconomic models. In particular, comparative statics analysis is facilitated. Little has been published on Maxima and its applications in economics and finance, and this volume will appeal to advanced undergraduates, graduate-level students studying microeconomics, academic researchers in economics and finance, economists, and financial analysts.

This book presents algorithmic tools for algebraic geometry and experimental applications of them. It also introduces a software system in which the tools have been implemented and with which the experiments can be carried out. Macaulay 2 is a computer algebra system devoted to supporting research in algebraic geometry, commutative algebra, and their applications. The reader of this book will encounter Macaulay 2 in the context of concrete applications and practical computations in algebraic geometry. The expositions of the algorithmic tools presented here are designed to serve as a useful guide for those wishing to bring such tools to bear on their own problems. These expositions will be valuable to both the users of other programs similar to Macaulay 2 (for example, Singular and CoCoA) and those who are not interested in explicit machine computations at all. The first part of the book is primarily concerned with introducing Macaulay2, whereas the second part emphasizes the mathematics.

Sage Accounts is a straightforward accounting package, enabling small businesses to control their finances in a quick and easy manner. It assists in the smooth running of the business by enabling you to compile graphs and tables to keep track of where the money is coming from and where it is going to. The package includes summary information allowing you to view details at a glance, and provides an efficient time saving way of controlling your stock and financial records. This new edition has been fully revised and updated to ensure all information is accurate and up to date.

Handbook of Metaheuristic Algorithms: From Fundamental Theories to Advanced Applications provides a brief introduction to metaheuristic algorithms from the ground up, including basic ideas and advanced solutions. Although readers may be able to find source code for some metaheuristic algorithms on the Internet, the coding styles and explanations are generally quite different, and thus requiring expanded knowledge between theory and implementation. This book can also help students and researchers construct an integrated perspective of metaheuristic and unsupervised algorithms for artificial intelligence research in computer science and applied engineering domains. Metaheuristic algorithms can be considered the epitome of unsupervised learning algorithms for the optimization of engineering and artificial intelligence problems, including simulated annealing (SA), tabu search (TS), genetic algorithm (GA), ant colony optimization (ACO), particle swarm optimization (PSO), differential evolution (DE), and others. Distinct from most supervised learning algorithms that need labeled data to learn and construct determination models, metaheuristic algorithms inherit characteristics of unsupervised learning algorithms used for solving complex engineering optimization problems without labeled data, just like self-learning, to find solutions to complex problems.

Save on expensive professionals with this trusted bestseller! Running your own business is pretty cool, but when it comes to the financial side--accounts and payroll, for instance--it's not so cool! That's why millions of small business owners around the world count on QuickBooks to quickly and easily manage accounting and financial tasks and save big time on hiring expensive professionals. In a friendly, easy-to-follow style, small business guru and bestselling author Stephen L. Nelson checks off all your financial line-item asks, including how to track your profits, plan a perfect budget, simplify tax returns, manage inventory, create invoices, track costs, generate reports, and pretty much any other accounts and financial-planning task that turns up on your desk! Keep up with the latest QuickBooks changes Use QuickBooks to track profits and finances Balance your budget Back up your data safely The fully updated new edition of QuickBooks For Dummies takes the sweat (and the expense) out of cooking the books--and gives you more time to savor the results of your labors!

'The Project Manager's Toolkit' provides a quick reference checklist approach to drive an IT development project as well as solve issues that arise in the process. It can be used proactively to set a project on the right course and reactively for solutions to problems. It will: * help identify what needs doing next on an IT project * provide quick reference 'to-do' lists for use throughout the lifecycle of an IT project * answer the need for material that can be used to quality-check project deliverables It has been designed so that those on the project team who are facing a problem can pick up the book, turn to a relevant checklist and use it as a "starter-for-ten" to find a solution. For example, how to analyse data for a data-conversion exercise, or how to measure the quality of a project deliverable. 'The Project Manager's Toolkit' therefore provides a fast way to reduce an insolvable problem/issue to a set of smaller solvable ones

Reachable Sets of Dynamic Systems: Uncertainty, Sensitivity, and Complex Dynamics introduces differential inclusions, providing an overview as well as multiple examples of its interdisciplinary applications. The design of dynamic systems of any type is an important issue as is the influence of uncertainty in model parameters and model sensitivity. The possibility of calculating the reachable sets may be a powerful additional tool in such tasks. This book can help graduate students, researchers, and engineers working in the field of computer simulation and model building, in the calculation of reachable sets of dynamic models.

Focused on practical matters: this book will not cover Shiny concepts, but practical tools and methodologies to use for production. Based on experience: this book will be a formalization of several years of experience building Shiny applications. Original content: this book will present new methodology and tooling, not just do a review of what already exists.

A clear, comprehensive treatment of the subject, Environmental Statistics with S-PLUS is an ideal resource for environmental scientists, engineers, regulators, and students, even those with only a limited knowledge of statistics. It provides insight into what to think about before you collect environmental data, how to collect it, and how to make sense of it after you have it. This book addresses the vast array of methods used today by scientists, researchers, and regulators.

Through its convenient showcase of information and numerous data sets posted on the Web, Environmental Statistics with S-PLUS shows you how to implement these methods using the statistical software package S-PLUS and the add-in modules EnvironmentalStats for S-PLUS, S+SpatialStats, and S-PLUS for ArcView. This survey of statistical methods, definitions, and concepts helps you collect and effectively analyze data for environmental pollution problems.

Living with Robots: Emerging Issues on the Psychological and Social Implications of Robotics focuses on the issues that come to bear when humans interact and collaborate with robots. The book dives deeply into critical factors that impact how individuals interact with robots at home, work and play. It includes topics ranging from robot anthropomorphic design, degree of autonomy, trust, individual differences and machine learning. While other books focus on engineering capabilities or the highly conceptual, philosophical issues of human-robot interaction, this resource tackles the human elements at play in these interactions, which are essential if humans and robots are to coexist and collaborate effectively. Authored by key psychology robotics researchers, the book limits its focus to specifically those robots who are intended to interact with people, including technology such as drones, self-driving cars, and humanoid robots. Forward-looking, the book examines robots not as the novelty they used to be, but rather the practical idea of robots participating in our everyday lives.

A Simple Guide to SPSS for Political Science, International Edition is a supplemental text that can be used with another statistics or research methods text. Designed for Political Science majors, A Simple Guide to SPSS for Political Science, International Edition helps students navigate through SPSS while taking a statistics or research methods course. The text includes additional coverage of categorical dependent variables, sample problems, and data sets specifically for Political Science. The American National Election Studies (ANES) database is used for sample problems, providing students with well-known and widely used resources in Political Science.

Managing data continues to grow as a necessity for modern organizations. There are seemingly infinite opportunities for organic growth, reduction of costs, and creation of new products and services. It has become apparent that none of these opportunities can happen smoothly without data governance. The cost of exponential data growth and privacy / security concerns are becoming burdensome. Organizations will encounter unexpected consequences in new sources of risk. The solution to these challenges is also data governance; ensuring balance between risk and opportunity. Data Governance, Second Edition, is for any executive, manager or data professional who needs to understand or implement a data governance program. It is required to ensure consistent, accurate and reliable data across their organization. This book offers an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable. This valuable resource provides comprehensive guidance to beginning professionals, managers or analysts looking to improve their processes, and advanced students in Data Management and related courses. With the provided framework and case studies all professionals in the data governance field will gain key insights into launching successful and money-saving data governance program.

Become a stats superstar by using Excel to reveal the powerful secrets of statistics.

Microsoft Excel offers numerous possibilities for statistical analysis―and you don’t have to be a math wizard to unlock them. In Statistical Analysis with Excel For Dummies, fully updated for the 2021 version of Excel, you’ll hit the ground running with straightforward techniques and practical guidance to unlock the power of statistics in Excel.

Bypass unnecessary jargon and skip right to mastering formulas, functions, charts, probabilities, distributions, and correlations. Written for professionals and students without a background in statistics or math, you’ll learn to create, interpret, and translate statistics―and have fun doing it!

In this book you’ll find out how to:

• Understand, describe, and summarize any kind of data, from sports stats to sales figures
• Confidently draw conclusions from your analyses, make accurate predictions, and calculate correlations
• Model the probabilities of future outcomes based on past data
• Perform statistical analysis on any platform: Windows, Mac, or iPad
• Access additional resources and practice templates through Dummies.com

For anyone who’s ever wanted to unleash the full potential of statistical analysis in Excel―and impress your colleagues or classmates along the way―Statistical Analysis with Excel For Dummies walks you through the foundational concepts of analyzing statistics and the step-by-step methods you use to apply them.

ITIL(R) 4 High-velocity ITIf you've achieved your ITIL(R) 4 Foundation certificate, you're probably planning the next stage in your ITIL journey and which qualification to work towards. ITIL 4 High-velocity IT (HVIT) provides essential knowledge and capabilities for service management professionals, supporting those involved in the delivery of digital products and services and anyone working on digital transformation programs. High-velocity IT is one of the ITIL 4 advanced level modules that leads to the MP (Managing Professional) certification. The module is aimed at professionals who are working in fast-paced environments, including adapting service management to work with Lean, Agile and DevOps. The majority of this book is based on the official AXELOS ITIL(R) 4: High-velocity IT publication and the associated High-velocity IT Managing Professional syllabus. It provides students with the information they need to pass the High-velocity IT exam, and help them become a successful practitioner. Suitable for existing ITIL v3 experts, ITIL 4 MP students, ITSM (IT service management) practitioners who are adopting ITIL 4, approved training organisations, IT service managers, IT managers and those in IT support roles. The guide focuses on: Digital product lifecycle and the ITIL operating model; High-velocity key behaviours; Principles, models and concepts; Ensuring: valuable investments, fast development, resilient operations and assured conformance; and Exam preparation. A useful tool throughout your careerIn addition to being an essential study aid, the author - a seasoned ITSM professional - also provides additional guidance throughout the book which you can lean on once your training and exam are over. The book includes her own practical experience from which she gives advice and points to think about along the way so that you can refer back to this book for years to come - long after you've passed your exam. The essential link between your ITIL qualification and the real world - buy this book today!

This proposed text appears to be a good introduction to evolutionary computation for use in applied statistics research. The authors draw from a vast base of knowledge about the current literature in both the design of evolutionary algorithms and statistical techniques. Modern statistical research is on the threshold of solving increasingly complex problems in high dimensions, and the generalization of its methodology to parameters whose estimators do not follow mathematically simple distributions is underway. Many of these challenges involve optimizing functions for which analytic solutions are infeasible. Evolutionary algorithms represent a powerful and easily understood means of approximating the optimum value in a variety of settings. The proposed text seeks to guide readers through the crucial issues of optimization problems in statistical settings and the implementation of tailored methods (including both stand-alone evolutionary algorithms and hybrid crosses of these procedures with standard statistical algorithms like Metropolis-Hastings) in a variety of applications. This book would serve as an excellent reference work for statistical researchers at an advanced graduate level or beyond, particularly those with a strong background in computer science.

ITIL(R) 4 Create, Deliver and SupportIf you've achieved your ITIL(R) 4 Foundation certificate, you're probably planning the next stage in your ITIL journey and which qualification to work towards. ITIL 4 Create, Deliver and Support (CDS) provides essential knowledge and capabilities for service management professionals, focusing on a value stream based approach to IT-enabled products and services - a must-have skillset practitioners should seek beyond Foundation level. The majority of this book is based on the official AXELOS ITIL(R) 4: Create, Deliver and Support publication and the associated Create, Deliver and Support Managing Professional syllabus. It provides students with the information they need to pass the Create, Deliver and Support exam, and help them become a successful practitioner. Suitable for existing ITIL v3 experts, ITIL 4 Managing Professional (MP) students, ITSM (IT service management) practitioners who are adopting ITIL 4, approved training organisations, IT service managers, IT managers and those in IT support roles. The guide focuses on: Service value system key concepts and challenges; Using a shift-left approach; Planning and managing resources in the service value system; The use and value of technology across the service value system; ITIL practices and value streams for new services and user support; How to create, deliver and support services; and Exam preparation. A useful tool throughout your careerIn addition to being an essential study aid, the author - a seasoned ITSM professional - also provides additional guidance throughout the book which you can lean on once your training and exam are over. The book includes her own practical experience from which she gives advice and points to think about along the way so that you can refer back to this book for years to come - long after you've passed your exam. The essential link between your ITIL qualification and the real world - buy this book today!