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Uncertainty analysis for engineers and scientists, Morrison, Faith A.


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Цена: 6970.00р.
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При оформлении заказа до: 2025-08-04
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Автор: Morrison, Faith A.
Название:  Uncertainty analysis for engineers and scientists
Перевод названия: Фейт А. Моррисон: Анализ неопределённости для инженеров и учёных
ISBN: 9781108745741
Издательство: Cambridge Academ
Классификация:





ISBN-10: 1108745741
Обложка/Формат: Paperback
Страницы: 370
Вес: 0.57 кг.
Дата издания: 07.01.2021
Серия: Engineering
Язык: English
Иллюстрации: Worked examples or exercises; worked examples or exercises
Размер: 152 x 229 x 27
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Aerospace & aviation technology,Chemical engineering,Engineering: general,Fluid mechanics,Probability & statistics, MATHEMATICS / Probability & Statistics / General
Подзаголовок: A practical guide
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Англии
Описание: Build the skills for determining appropriate error limits for quantities that matter with this essential toolkit. Whether you are new to the sciences or an experienced engineer, this useful text provides a practical approach to performing error analysis.


Time Series Analysis

Автор: Hamilton, James
Название: Time Series Analysis
ISBN: 0691042896 ISBN-13(EAN): 9780691042893
Издательство: Wiley
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Цена: 11088.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: A graduate-level text which describes the recent dramatic changes that have taken place in the way that researchers analyze economic and financial time series. It explores such important innovations as vector regression, nonlinear time series models and the generalized methods of moments.

Statistics for Biomedical Engineers and Scientists

Автор: King, Andrew
Название: Statistics for Biomedical Engineers and Scientists
ISBN: 008102939X ISBN-13(EAN): 9780081029398
Издательство: Elsevier Science
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Цена: 9761.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Statistics for Biomedical Engineers and Scientists: How to Analyze and Visualize Data provides an intuitive understanding of the concepts of basic statistics, with a focus on solving biomedical problems. Readers will learn how to understand the fundamental concepts of descriptive and inferential statistics, analyze data and choose an appropriate hypothesis test to answer a given question, compute numerical statistical measures and perform hypothesis tests 'by hand', and visualize data and perform statistical analysis using MATLAB. Practical activities and exercises are provided, making this an ideal resource for students in biomedical engineering and the biomedical sciences who are in a course on basic statistics.

  • Presents a practical guide on how to visualize and analyze statistical data
  • Provides numerous practical examples and exercises to illustrate the power of statistics in biomedical engineering applications
  • Gives an intuitive understanding of statistical tests
  • Covers practical skills by showing how to perform operations 'by hand' and by using MATLAB as a computational tool
  • Includes an online resource with downloadable materials for students and teachers
Statistical Inference for Engineers and Data Scientists

Автор: Moulin Pierre
Название: Statistical Inference for Engineers and Data Scientists
ISBN: 1107185920 ISBN-13(EAN): 9781107185920
Издательство: Cambridge Academ
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Цена: 10138.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: An up-to-date and mathematically accessible introduction to the tools needed to address modern inference problems in engineering and data science. Richly illustrated with examples and exercises connecting the theory with practice, it is the `go to` guide for students studying the topic, and an excellent reference for researchers and practitioners.

Empirical Modeling and Data Analysis for Engineers and Applied Scientists

Автор: Pardo Scott A.
Название: Empirical Modeling and Data Analysis for Engineers and Applied Scientists
ISBN: 3319813641 ISBN-13(EAN): 9783319813646
Издательство: Springer
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Цена: 11179.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This textbook teaches advanced undergraduate and first-year graduate students in Engineering and Applied Sciences to gather and analyze empirical observations (data) in order to aid in making design decisions. While science is about discovery, the primary paradigm of engineering and "applied science" is design.

Probability Distributions Involving Gaussian Random Variables / A Handbook for Engineers and Scientists

Автор: Simon Marvin K., Riedel Eibe
Название: Probability Distributions Involving Gaussian Random Variables / A Handbook for Engineers and Scientists
ISBN: 0387346570 ISBN-13(EAN): 9780387346571
Издательство: Springer
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Цена: 9781.00 р.
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Описание: This handbook brings together a comprehensive collection of mathematical material in one location. It also offers a variety of new results interpreted in a form that is particularly useful to engineers, scientists, and applied mathematicians.

Introduction to Probability, Second Edition

Автор: Joseph K. Blitzstein, Jessica Hwang
Название: Introduction to Probability, Second Edition
ISBN: 1138369918 ISBN-13(EAN): 9781138369917
Издательство: Taylor&Francis
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Цена: 11176.00 р.
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Описание: Assumes one-semester of calculus. "Stories" make distributions (Normal, Binomial, Poisson that are widely-used in statistics) easier to remember, understand. Many books write down formulas without explaining clearly why these particular distributions are important or how they are all connected.

Applied Data Analysis and Modeling for Energy Engineers and Scientists

Автор: T. Agami Reddy
Название: Applied Data Analysis and Modeling for Energy Engineers and Scientists
ISBN: 1489986367 ISBN-13(EAN): 9781489986368
Издательство: Springer
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Цена: 23508.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Focusing on the analysis and modeling of thermal systems in engineering, this volume covers the mathematics, data interpretation and decision analysis required for researchers and engineers to scrutinize their methodologies and arrive at robust conclusions.


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