Basic environmental data analysis de r b frese (28 resultados)

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Paperback. Condición: Brand New. 298 pages. 9.19x6.13x0.75 inches. In Stock.

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hardcover. Condición: Sehr gut. 282 Seiten; 9781138627789.2 Gewicht in Gramm: 1.

Condición: New. Ralph R.B. von Frese is Professor of Earth Sciences at The Ohio State University, where he has taught undergraduate and graduate courses in geomathematics, geophysics, and environmental and earth sciences since 1982. His research has focused mostly on ar.

Taschenbuch. Condición: Neu. Basic Environmental Data Analysis for Scientists and Engineers | Ralph R B von Frese | Taschenbuch | Englisch | 2023 | CRC Press | EAN 9781032475066 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. …

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Gebunden. Condición: New. Classroom tested and the result of over 30 years of teaching and research, this textbook is an invaluable tool for undergraduate and graduate data analysis courses in environmental sciences and engineering. It is also a useful reference on modern digital.

Buch. Condición: Neu. Neuware.

Condición: New. Brand New ! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.…

Condición: gut. 2019. Basic Environmental Data Analysis for Scientists and Engineers In englischer Sprache. pages.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Classroom tested and the result of over 30 years of teaching and research, this textbook is an invaluable tool for undergraduate and graduate data analysis courses in environmental sciences and engineering. It is also a useful reference on modern digital data analysis for the extensive and growing community of Earth scientists and engineers. Basic Environmental Data Analysis for Scientists and Engineers introduces practical concepts of modern digital data analysis and graphics, including numerical/graphical calculus, measurement units and dimensional analysis, error propagation and statistics, and least squares data modeling. It emphasizes array-based or matrix inversion and spectral analysis using the fast Fourier transform (FFT) that dominates modern data analysis. Divided into two parts, this comprehensive hands-on textbook is excellent for exploring data analysis principles and practice using MATLAB®, Mathematica, Mathcad, and other modern equation solving software. PartI, for beginning undergraduate students, introduces the basic approaches for quantifying data variations in terms of environmental parameters. These approaches emphasize uses of the data array or matrix, which is the fundamental data and mathematical processing format of modern electronic computing.Part II, for advanced undergraduate and beginning graduate students, extends the inverse problem to least squares solutions involving more than two unknowns. Features:Offers a uniquely practical guide for making students proficient in modern electronic data analysis and graphicsIncludes topics that are not explained in any existing textbook on environmental data analysisData analysis topics are very well organized into a two-semester course that meets general education curriculum requirements in science and engineeringFacilitates learning by beginning each chapter with an 'Overview' section highlighting the topics covered, and ending it with a 'Key Concepts' section summarizing the main technical details that the reader should have acquiredIndexes many numerical examples for ready access in the classroom or other venues serviced by electronic equation solvers like MATLAB®, Mathematica, Mathcad, etc. Offers supplemental exercises and materials to enhance understanding the principles and practice of modern data analysis 300 pp. Englisch.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Classroom tested and the result of over 30 years of teaching and research, this textbook is an invaluable tool for undergraduate and graduate data analysis courses in environmental sciences and engineering. It is also a useful reference on modern digital data analysis for the extensive and growing community of Earth scientists and engineers. Basic Environmental Data Analysis for Scientists and Engineers introduces practical concepts of modern digital data analysis and graphics, including numerical/graphical calculus, measurement units and dimensional analysis, error propagation and statistics, and least squares data modeling. It emphasizes array-based or matrix inversion and spectral analysis using the fast Fourier transform (FFT) that dominates modern data analysis. Divided into two parts, this comprehensive hands-on textbook is excellent for exploring data analysis principles and practice using MATLAB®, Mathematica, Mathcad, and other modern equation solving software. PartI, for beginning undergraduate students, introduces the basic approaches for quantifying data variations in terms of environmental parameters. These approaches emphasize uses of the data array or matrix, which is the fundamental data and mathematical processing format of modern electronic computing.Part II, for advanced undergraduate and beginning graduate students, extends the inverse problem to least squares solutions involving more than two unknowns. Features:Offers a uniquely practical guide for making students proficient in modern electronic data analysis and graphicsIncludes topics that are not explained in any existing textbook on environmental data analysisData analysis topics are very well organized into a two-semester course that meets general education curriculum requirements in science and engineeringFacilitates learning by beginning each chapter with an 'Overview' section highlighting the topics covered, and ending it with a 'Key Concepts' section summarizing the main technical details that the reader should have acquiredIndexes many numerical examples for ready access in the classroom or other venues serviced by electronic equation solvers like MATLAB®, Mathematica, Mathcad, etc. Offers supplemental exercises and materials to enhance understanding the principles and practice of modern data analysis. …