9781940380148 - an introduction to error analysis: the study of uncertainties in physical measurements de taylor, john r.; purvis-roberts, kathleen l.; stigliani, william m.; gray, harry b. (21 resultados)

An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements
Taylor, John R.; Purvis-Roberts, Kathleen L.; Stigliani, William M.; Gray, Harry B.
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Librería: BooksRun, Philadelphia, PA, Estados Unidos de AmericaBooksRun
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EUR 63,63
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Hardcover. Condición: Very Good. 3rd ed. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements
Taylor, John R.; Purvis-Roberts, Kathleen L.; Stigliani, William M.; Gray, Harry B.
- Tapa dura
Librería: BooksRun, Philadelphia, PA, Estados Unidos de AmericaBooksRun
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EUR 63,63
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Hardcover. Condición: Very Good. 3rd ed. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

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EUR 63,36
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hardcover. Condición: Fine.

An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements
Taylor, John R.; Purvis-Roberts, Kathleen L.; Stigliani, William M.; Gray, Harry B.
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Condición: New. 3rd edition NO-PA16APR2015-KAP.

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HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 113,39
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Hardcover. Condición: new. Hardcover. This remarkable text by John R. Taylor has been a non-stop best-selling international hit since it was first published forty years ago. However, the two-plus decades since the second edition was released have seen two dramatic developments; the huge rise in popularity of Bayesian statistics,… and the continued increase in the power and availability of computers and calculators. In response to the former, Taylor has added a full chapter dedicated to Bayesian thinking, introducing conditional probabilities and Bayes theorem. The several examples presented in the new third edition are intentionally very simple, designed to give readers a clear understanding of what Bayesian statistics is all about as their first step on a journey to become practicing Bayesians. In response to the second development, Taylor has added a number of chapter-ending problems that will encourage readers to learn how to solve problems using computers. While many of these can be solved using programs such as Matlab or Mathematica, almost all of them are stated to apply to commonly available spreadsheet programs like Microsoft Excel. These programs provide a convenient way to record and process data and to calculate quantities like standard deviations, correlation coefficients, and normal distributions; they also have the wonderful ability if students construct their own spreadsheets and avoid the temptation to use built-in functions to teach the meaning of these concepts. A new third edition of John R. Taylors best-selling text that features Bayesian statistics and updated new chapter-ending problems throughout. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements
Taylor, John R.; Purvis-Roberts, Kathleen L.; Stigliani, William M.; Gray, Harry B.
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de AmericaRarewaves USA
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EUR 120,11
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Hardback. Condición: New. This remarkable text by John R. Taylor has been a non-stop best-selling international hit since it was first published forty years ago. However, the two-plus decades since the second edition was released have seen two dramatic developments; the huge rise in popularity of Bayesian statistics, and the con…tinued increase in the power and availability of computers and calculators. In response to the former, Taylor has added a full chapter dedicated to Bayesian thinking, introducing conditional probabilities and Bayes' theorem. The several examples presented in the new third edition are intentionally very simple, designed to give readers a clear understanding of what Bayesian statistics is all about as their first step on a journey to become practicing Bayesians. In response to the second development, Taylor has added a number of chapter-ending problems that will encourage readers to learn how to solve problems using computers. While many of these can be solved using programs such as Matlab or Mathematica, almost all of them are stated to apply to commonly available spreadsheet programs like Microsoft Excel. These programs provide a convenient way to record and process data and to calculate quantities like standard deviations, correlation coefficients, and normal distributions; they also have the wonderful ability - if students construct their own spreadsheets and avoid the temptation to use built-in functions - to teach the meaning of these concepts.

An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements
Taylor, John R.; Purvis-Roberts, Kathleen L.; Stigliani, William M.; Gray, Harry B.
- Tapa dura
Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 113,76
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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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EUR 119,28
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Condición: new.

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EUR 133,00
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Hardback. Condición: New. This remarkable text by John R. Taylor has been a non-stop best-selling international hit since it was first published forty years ago. However, the two-plus decades since the second edition was released have seen two dramatic developments; the huge rise in popularity of Bayesian statistics, and the con…tinued increase in the power and availability of computers and calculators. In response to the former, Taylor has added a full chapter dedicated to Bayesian thinking, introducing conditional probabilities and Bayes' theorem. The several examples presented in the new third edition are intentionally very simple, designed to give readers a clear understanding of what Bayesian statistics is all about as their first step on a journey to become practicing Bayesians. In response to the second development, Taylor has added a number of chapter-ending problems that will encourage readers to learn how to solve problems using computers. While many of these can be solved using programs such as Matlab or Mathematica, almost all of them are stated to apply to commonly available spreadsheet programs like Microsoft Excel. These programs provide a convenient way to record and process data and to calculate quantities like standard deviations, correlation coefficients, and normal distributions; they also have the wonderful ability - if students construct their own spreadsheets and avoid the temptation to use built-in functions - to teach the meaning of these concepts.

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Librería: THE SAINT BOOKSTORE, Southport, Reino UnidoTHE SAINT BOOKSTORE
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EUR 117,12
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Hardback. Condición: New. New copy - Usually dispatched within 4 working days.

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Hardcover. Condición: Brand New. 3rd edition. 392 pages. 10.75x7.50x0.75 inches. In Stock.

An Introduction to Error Analysis The Study of Uncertainties in Physical Measurements [] Taylor, John R
Taylor, John R.; Purvis-Roberts, Kathleen L.; Stigliani, William M.; Gray, Harry B.
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Librería: College Campus, Sturgeon Lake, MN, Estados Unidos de AmericaCollege Campus
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EUR 143,66
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Condición: Good. Used Item. Does not include New Access Codes , Cd's or one time use items that come when New. This item is Used.

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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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Condición: New.

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Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de AmericaRarewaves USA United
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EUR 121,74
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Hardback. Condición: New. This remarkable text by John R. Taylor has been a non-stop best-selling international hit since it was first published forty years ago. However, the two-plus decades since the second edition was released have seen two dramatic developments; the huge rise in popularity of Bayesian statistics, and the con…tinued increase in the power and availability of computers and calculators. In response to the former, Taylor has added a full chapter dedicated to Bayesian thinking, introducing conditional probabilities and Bayes' theorem. The several examples presented in the new third edition are intentionally very simple, designed to give readers a clear understanding of what Bayesian statistics is all about as their first step on a journey to become practicing Bayesians. In response to the second development, Taylor has added a number of chapter-ending problems that will encourage readers to learn how to solve problems using computers. While many of these can be solved using programs such as Matlab or Mathematica, almost all of them are stated to apply to commonly available spreadsheet programs like Microsoft Excel. These programs provide a convenient way to record and process data and to calculate quantities like standard deviations, correlation coefficients, and normal distributions; they also have the wonderful ability - if students construct their own spreadsheets and avoid the temptation to use built-in functions - to teach the meaning of these concepts.

- Tapa dura
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de AmericaKennys Bookstore
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EUR 183,03
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Condición: New.

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Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK
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EUR 125,01
Envío por EUR 75,36Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardback. Condición: New. This remarkable text by John R. Taylor has been a non-stop best-selling international hit since it was first published forty years ago. However, the two-plus decades since the second edition was released have seen two dramatic developments; the huge rise in popularity of Bayesian statistics, and the con…tinued increase in the power and availability of computers and calculators. In response to the former, Taylor has added a full chapter dedicated to Bayesian thinking, introducing conditional probabilities and Bayes' theorem. The several examples presented in the new third edition are intentionally very simple, designed to give readers a clear understanding of what Bayesian statistics is all about as their first step on a journey to become practicing Bayesians. In response to the second development, Taylor has added a number of chapter-ending problems that will encourage readers to learn how to solve problems using computers. While many of these can be solved using programs such as Matlab or Mathematica, almost all of them are stated to apply to commonly available spreadsheet programs like Microsoft Excel. These programs provide a convenient way to record and process data and to calculate quantities like standard deviations, correlation coefficients, and normal distributions; they also have the wonderful ability - if students construct their own spreadsheets and avoid the temptation to use built-in functions - to teach the meaning of these concepts.

- Tapa dura
Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 175,15
Envío por EUR 32,59Se envía de Australia a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardcover. Condición: new. Hardcover. This remarkable text by John R. Taylor has been a non-stop best-selling international hit since it was first published forty years ago. However, the two-plus decades since the second edition was released have seen two dramatic developments; the huge rise in popularity of Bayesian statistics,… and the continued increase in the power and availability of computers and calculators. In response to the former, Taylor has added a full chapter dedicated to Bayesian thinking, introducing conditional probabilities and Bayes theorem. The several examples presented in the new third edition are intentionally very simple, designed to give readers a clear understanding of what Bayesian statistics is all about as their first step on a journey to become practicing Bayesians. In response to the second development, Taylor has added a number of chapter-ending problems that will encourage readers to learn how to solve problems using computers. While many of these can be solved using programs such as Matlab or Mathematica, almost all of them are stated to apply to commonly available spreadsheet programs like Microsoft Excel. These programs provide a convenient way to record and process data and to calculate quantities like standard deviations, correlation coefficients, and normal distributions; they also have the wonderful ability if students construct their own spreadsheets and avoid the temptation to use built-in functions to teach the meaning of these concepts. A new third edition of John R. Taylors best-selling text that features Bayesian statistics and updated new chapter-ending problems throughout. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.