Doing statistical analysis, Thrane, Christer (inland Norway University Of Applied Sciences, Norway)
Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman Название: The Elements of Statistical Learning ISBN: 0387848576 ISBN-13(EAN): 9780387848570 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.
Автор: Watson David G. Название: Pharmaceutical Analysis. 5 ed ISBN: 0702078077 ISBN-13(EAN): 9780702078071 Издательство: Elsevier Science Рейтинг: Цена: 5305.00 р. 7578.00-30% Наличие на складе: Есть (5 шт.) Описание: Pharmaceutical analysis determines the purity, concentration, active compounds, shelf life, rate of absorption in the body, identity, stability, rate of release etc. of a drug. Testing a pharmaceutical product involves a variety of analyses, and the analytical processes described in this book are used in industries as diverse as food, beverages, cosmetics, detergents, metals, paints, water, agrochemicals, biotechnological products and pharmaceuticals. The mathematics involved is notoriously difficult, but this much-praised textbook, now revised and updated for its fifth edition, guides a student through the complexities with clear writing and the author's expertise from many years' teaching pharmacy students. Two new chapters have been added to the new edition covering methods used in the quality control of biotechnologically produced drugs, and electrochemical biosensors. There is continuous learning reinforcement throughout the book by way of worked calculation examples and self-assessment test questions. Worked calculation examples Self-assessment Additional problems (self tests) Practical boxes Key points boxes Two new chapters: Chapter 16 Methods used in the quality control of biotechnologically produced drugs Chapter 17 Electrochemical biosensors
Автор: Armstrong Richard A Название: Statistical Analysis in Microbiology ISBN: 0470559306 ISBN-13(EAN): 9780470559307 Издательство: Wiley Рейтинг: Цена: 5760.00 р. 8229.00-30% Наличие на складе: Есть (1 шт.) Описание: Based on the highly successful STATNOTES articles published in Microbiologist by the Society for Applied Microbiology, this book presents the most useful statistical tests in a clear way by applying them to real experiments in microbiology, meeting the need for a book devoted to data analysis in the field.
Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application.
This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas--from science and engineering, to medicine, academia and commerce.
Includes input by practitioners for practitioners
Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models
Contains practical advice from successful real-world implementations
Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions
Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications
Автор: Donald B. Percival, Andrew T. Walden Название: Spectral Analysis for Univariate Time Series ISBN: 1107028140 ISBN-13(EAN): 9781107028142 Издательство: Cambridge Academ Рейтинг: Цена: 14573.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Spectral analysis is an important technique for interpreting time series data. This book uses the R language and real world examples to show data analysts interested in time series in the environmental, engineering and physical sciences how to bridge the gap between the statistical theory behind spectral analysis and its application to actual data.
Автор: Zolfaghari, Behrouz, Название: Statistical trend analysis of physically unclonable functions : ISBN: 036775455X ISBN-13(EAN): 9780367754556 Издательство: Taylor&Francis Рейтинг: Цена: 7654.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Statistical Trend Analysis of Physically Unclonable Functions first presents a review on cryptographic hardware and hardware-assisted cryptography. Afterwards, the authors present a combined survey and research work on PUFs using a systematic approach.
Автор: Washington, Simon Mannering, Fred (university Of S Название: Statistical and econometric methods for transportation data analysis ISBN: 0367199025 ISBN-13(EAN): 9780367199029 Издательство: Taylor&Francis Рейтинг: Цена: 17609.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Describing tools commonly used in the field, this textbook provides an understanding of a broad range of analytical tools required to solve transportation problems. It includes a wide breadth of examples and case studies in various aspects of transportation planning, engineering, safety, and economics.
Автор: Hayes, Monson H. Название: Statistical digital signal processing and modeling ISBN: 0471594318 ISBN-13(EAN): 9780471594314 Издательство: Wiley Рейтинг: Цена: 45636.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book responds to the dramatic growth in digital signal processing (DSP) over the past decade. While its focal point is signal modeling, the book integrates and explores the relationships of signal modeling to the important problems of optimal filtering, spectral estimation, and adaptive filtering.
Автор: Steven W Poston Название: Analysis of Oil and Gas Production Performance ISBN: 1613996659 ISBN-13(EAN): 9781613996652 Издательство: Society of Petroleum Engineers Рейтинг: Цена: 23826.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The practical aspects of analyzing production performance has changed due to the increased exploitation efforts in unconventional reservoirs. Analysis of Oil and Gas Production Performance expands on these developing well-evaluation procedures and includes the latest best practices for new areas of shale and tight formation reservoirs. Built on the core fundamentals of curve analysis found in Poston and Poe's book, Analysis of Production Decline Curves, this new book is intended for engineers, geologists, and anyone working in the oil and gas industry with an interest in production forecasting of conventional and unconventional resources for evaluation and development.
This book is intended for engineers, geologists, and anyone working in the oil and gas industry with an interest in production
forecasting of conventional and unconventional resources for evaluation and development. The majority of the book is
concerned with commonly observed oilfield practice and practical solutions to the problems encountered therein. Each chapter
begins with a workflow diagram that, in essence, provides the reader with the learning objectives of the chapter. A primary
focus of the book is to instill each reader with the competency to solve typical operational problems with minimal exposure to
the complexity of the underlying mathematics and equations. The basics and utility of each equation are discussed; however,
the focus is on the practical application of the underlying technology to real-life problems. There are numerous illustrations
and solutions to typical field problems included for the reader.
Описание: This book provides the theoretical background to approach decision theory from a statistical perspective. It covers both traditional approaches, in terms of value theory and expected utility theory, and recent developments, in terms of causal inference.
Автор: Schmuller Joseph Название: Statistical Analysis with Excel for Dummies ISBN: 1119271150 ISBN-13(EAN): 9781119271154 Издательство: Wiley Рейтинг: Цена: 3958.00 р. Наличие на складе: Поставка под заказ.
Описание:
Readers use statistics every day, even when they don't realize it. "Statistical Analysis with Excel For Dummies, Fourth Edition" shows readers how to use the world's most popular spreadsheet program to crunch the numbers and interpret statistics--even if they haven't taken a statistics or advanced math course. Statistics have a reputation for being a challenging, math intensive pursuit. Using plain English and a minimum of equations, this book offers readers a painless and easy understanding of statistics. Author Joseph Schmuller Ph.D. covers formulas and functions, charts and PivotTables, samples and normal distributions, probabilities and related distributions, trends and correlations, and much more. By the end of the book, readers understand statistical terms such as median vs. mean, margin of error, standard deviation, permutations and correlations. This book minimizes the use of intimidating equations and allows readers to understand statistics as quickly and painlessly as possible. With the upcoming release of the fourth edition, new and returning readers will have the ability to gain an increased knowledge of business analytics, statistical sophistication and the latest new features that come with Excel 2016.
Описание: The volume presents a broad spectrum of papers presented at the Workshop, and thus illustrates the range of current research related to the theory, methods and applications of HRQoL, as well as the interdisciplinary nature ofthis work.
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