Автор: Badiru, Adedeji Bodunde Название: Project management essentials ISBN: 0367431181 ISBN-13(EAN): 9780367431181 Издательство: Taylor&Francis Рейтинг: Цена: 7961.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This Focus book presents the basic principles and practice of project management and simple analytics for project control. The overriding theme of the book is that every pursuit can be organized as a project.
Автор: Earnest Название: Essentials of a Successful Biostatistical Collaboration ISBN: 1482226987 ISBN-13(EAN): 9781482226980 Издательство: Taylor&Francis Рейтинг: Цена: 11023.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The aim of this book is to equip biostatisticians and other quantitative scientists with the necessary skills, knowledge, and habits to collaborate effectively with clinicians in the healthcare field. The book provides valuable insight on where to look for information and material on sample size and statistical techniques commonly used in clinical research, and on how best to communicate with clinicians. It also covers the best practices to adopt in terms of project, time, and data management; relationship with collaborators; etc.
Автор: Durrett Название: Essentials of Stochastic Processes ISBN: 331945613X ISBN-13(EAN): 9783319456133 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Building upon the previous editions, this textbook is a first course in stochastic processes taken by undergraduate and graduate students (MS and PhD students from math, statistics, economics, computer science, engineering, and finance departments) who have had a course in probability theory.
Автор: Lee Название: Essentials of Excel VBA, Python, and R ISBN: 3031142829 ISBN-13(EAN): 9783031142826 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Поставка под заказ.
Описание: This advanced textbook for business statistics teaches, statistical analyses and research methods utilizing business case studies and financial data with the applications of Excel VBA, Python and R. Each chapter engages the reader with sample data drawn from individual stocks, stock indices, options, and futures. Now in its second edition, it has been expanded into two volumes, each of which is devoted to specific parts of the business analytics curriculum. To reflect the current age of data science and machine learning, the used applications have been updated from Minitab and SAS to Python and R, so that readers will be better prepared for the current industry. This second volume is designed for advanced courses in financial derivatives, risk management, and machine learning and financial management. In this volume we extensively use Excel, Python, and R to analyze the above-mentioned topics. It is also a comprehensive reference for active statistical finance scholars and business analysts who are looking to upgrade their toolkits. Readers can look to the first volume for dedicated content on financial statistics, and portfolio analysis.
Описание: This introductory textbook for business statistics teaches statistical analysis and research methods via business case studies and financial data using Excel, Minitab, and SAS. Every chapter in this textbook engages the reader with data of individual stock, stock indices, options, and futures.One studies and uses statistics to learn how to study, analyze, and understand a data set of particular interest. Some of the more popular statistical programs that have been developed to use statistical and computational methods to analyze data sets are SAS, SPSS, and Minitab. Of those, we look at Minitab and SAS in this textbook. One of the main reasons to use Minitab is that it is the easiest to use among the popular statistical programs. We look at SAS because it is the leading statistical package used in industry. We also utilize the much less costly and ubiquitous Microsoft Excel to do statistical analysis, as the benefits of Excel have become widely recognized in the academic world and its analytical capabilities extend to about 90 percent of statistical analysis done in the business world. We demonstrate much of our statistical analysis using Excel and double check the analysis and outcomes using Minitab and SAS—also helpful in some analytical methods not possible or practical to do in Excel.
Автор: Hiestand, James W. Название: Numerical methods with VBA programming / ISBN: 0763749648 ISBN-13(EAN): 9780763749644 Издательство: NBN International Рейтинг: Цена: 24075.00 р. Наличие на складе: Нет в наличии.
Описание: Numerical Methods with VBA Programming provides a unique and unified treatment of numerical methods and VBA computer programming, topics that naturally support one another within the study of engineering and science. This engaging text incorporates real-world scenarios to motivate technical material, helping students understand and retain difficult and key concepts. Such examples include comparing a two-point boundary value problem to determining when you should leave for the airport to catch a scheduled flight. Numerical examples are accompanied by closed-form solutions to demonstrate their correctness. Within the programming sections, tips are included that go beyond language basics to make programming more accessible for students. A unique section suggest ways in which the starting values for non-linear equations may be estimated. Flow charts for many of the numerical techniques discussed provide general guidance to students without revealing all of the details. Useful appendices provide summaries of Excel and VBA commands, Excel functions accessible in VBA, basics of differentiation, and more
Автор: Durrett Richard Название: Essentials of Stochastic Processes ISBN: 3319833316 ISBN-13(EAN): 9783319833316 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Building upon the previous editions, this textbook is a first course in stochastic processes taken by undergraduate and graduate students (MS and PhD students from math, statistics, economics, computer science, engineering, and finance departments) who have had a course in probability theory.
Автор: Proschan, Michael A. , Shaw, Pamela A. Название: Essentials of Probability Theory for Statisticians ISBN: 0367871637 ISBN-13(EAN): 9780367871635 Издательство: Taylor&Francis Рейтинг: Цена: 9645.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text provides graduate students with a rigorous treatment of probability theory, with an emphasis on results central to theoretical statistics. It presents classical probability theory motivated with illustrative examples in biostatistics, such as outlier tests, monitoring clinical trials, and using adaptive methods to make design changes b
Название: Essentials of Mathematical Statistics ISBN: 144968534X ISBN-13(EAN): 9781449685348 Издательство: Jones & Bartlett Рейтинг: Цена: 31046.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Part of the Jones and Bartlett Learning International Series in Mathematics Written for the one-term introductory probability and statistics course for mid- to upper-level math and science majors, Essentials of Mathematical Statistics combines the topics generally found in main-stream elementary statistics books with the essentials of the underlying theory. The book begins with an axiomatic treatment of probability followed by chapters on discrete and continuous random variables and their associated distributions. It then introduces basic statistical concepts including summarizing data and interval parameter estimation, stressing the connection between probability and statistics. Final chapters introduce hypothesis testing, regression, and non-parametric techniques. All chapters provide a balance between conceptual understanding and theoretical understanding of the topics at hand. Key Features of Essentials of Mathematical Statistics: - End-of-section exercises range from computational to conceptual to theoretical. - Many sections include a sub-section titled oeSoftware Calculations � which gives detailed descriptions of how to perform the calculations discussed in the section using the software Minitab, R, Excel, and the TI-83/84 calculators. - Provides a clear balance between conceptual understanding and theoretical understanding - Exercises throughout vary in level of difficulty and scope.
Автор: O`Regan Название: Mathematical Foundations of Software Engineering ISBN: 3031262115 ISBN-13(EAN): 9783031262111 Издательство: Springer Рейтинг: Цена: 8384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This textbook presents an introduction to the mathematical foundations of software engineering. It presents the rich applications of mathematics in areas such as error-correcting codes, cryptography, the safety and security critical fields, the banking and insurance fields, as well as traditional engineering applications. Topics and features: * Addresses core mathematics for critical thinking and problem solving * Discusses propositional and predicate logic and various proof techniques to demonstrate the correctness of a logical argument. * Examines number theory and its applications to cryptography * Considers the underlying mathematics of error-correcting codes * Discusses graph theory and its applications to modelling networks * Reviews tools to support software engineering mathematics, including automated and interactive theorem provers and model checking * Discusses financial software engineering, including simple and compound interest, probability and statistics, and operations research * Discusses software reliability and dependability and explains formal methods used to derive a program from its specification * Discusses calculus, matrices, vectors, complex numbers, and quaternions, as well as applications to graphics and robotics * Includes key learning topics, summaries, and review questions in each chapter, together with a useful glossary This practical and easy-to-follow textbook/reference is ideal for computer science students seeking to learn how mathematics can assist them in building high-quality and reliable software on time and on budget. The text also serves as an excellent self-study primer for software engineers, quality professionals, and software managers.
Автор: Wellin Название: Essentials of Programming in Mathematica ® ISBN: 110711666X ISBN-13(EAN): 9781107116665 Издательство: Cambridge Academ Рейтинг: Цена: 8870.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This introduction is suitable for someone who has little or no background in Mathematica (R), or who has some experience using other languages such as C, Java, or Perl. Starting from first principles, this example-driven text contains material from disciplines as varied as linguistics, bioinformatics, geometry, computer science, and many more.
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