Get Free Ebook Statistics and Chemometrics for Analytical Chemistry (5th Edition)By James Miller, Jane C Miller

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This popular textbook gives a clear account of the principles of the main statistical methods used in modern analytical laboratories. Such methods underpin high quality analyses in areas such as the safety of food, water and medicines, environmental monitoring, and chemical manufacturing. The treatment throughout emphasises the underlying statistical ideas, and no detailed knowledge of mathematics is required. There are numerous worked examples, including the use of Microsoft Excel and Minitab, and a large number of student exercises, many of them based on examples from the analytical literature. This book is aimed at undergraduate and graduate courses in Analytical Chemistry and related topics. It will also be a valuable resource for researchers and chemists working in analytical chemistry.

• Amazon Sales Rank: #3752876 in Books
• Published on: 2005-04-01
• Original language: English
• Number of items: 2
• Dimensions: 9.75" h x .70" w x 7.50" l, 1.25 pounds
• Binding: Paperback
• 288 pages

Features

• Statistics and Chemometrics for Analytical Chemistry (5th Edition)

From the Back Cover

This popular textbook gives a clear account of the principles of the main statistical methods used in modern analytical laboratories. Such methods underpin high quality analyses in areas such as the safety of food, water and medicines, environmental monitoring, and chemical manufacturing. The treatment throughout emphasises the underlying statistical ideas, and no detailed knowledge of mathematics is required. There are numerous worked examples, including the use of Microsoft Excel and Minitab, and a large number of student exercises, many of them based on examples from the analytical literature.

Key features

• expanded treatment of control charts
• additions to cover single point calibration and method comparison techniques
•  extended treatment of robust methods
•  major additions to sections on multivariate regression
•  numerous worked examples, using Microsoft Excel and Minitab
• an attractive two-colour text design
•  updated Instructors¿ manual
•  improved website including examples for lecturers and students

This book is aimed at undergraduate and graduate courses in Analytical Chemistry and related topics.  It will also be a valuable resource for researchers and chemists working in analytical chemistry.

Professor James Miller is Emeritus Professor of Analytical Chemistry at Loughborough University.  He has published numerous reviews and papers on analytical techniques and been awarded the SAC Silver Medal, the Theophilus Redwood Lectureship and the SAC Gold Medal by the Royal Society of Chemsitry.  A Past President of the Analytical Division of the RSC, he is a member of the Society¿s Council and has served on the editorial boards of many analytical and spectroscopic journals.

Dr Jane Miller completed a PhD at Cambridge University¿s Cavendish Laboratory and is an experienced teacher of mathematics and physics at higher education and 6th form levels.  She holds an MSc in Applied Statistics and is the author of several specialist A-level statistics texts.

 

About the Author

Professor James Miller is Emeritus Professor of Analytical Chemistry at Loughborough University.  He has published numerous reviews and papers on analytical techniques and been awarded the SAC Silver Medal, the Theophilus Redwood Lectureship and the SAC Gold Medal by the Royal Society of Chemsitry.  A Past President of the Analytical Division of the RSC, he is a member of the Society¿s Council and has served on the editorial boards of many analytical and spectroscopic journals.

Dr Jane Miller completed a PhD at Cambridge University¿s Cavendish Laboratory and is an experienced teacher of mathematics and physics at higher education and 6th form levels.  She holds an MSc in Applied Statistics and is the author of several specialist A-level statistics texts.

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Statistics and Chemometrics for Analytical Chemistry (5th Edition)By James Miller, Jane C Miller PDF

Statistics and Chemometrics for Analytical Chemistry (5th Edition)By James Miller, Jane C Miller PDF

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Ebook Download Fear Street 'The Stepsister'By R. L. Stine

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• Sales Rank: #8163536 in Books
• Published on: 1990
• Binding: Paperback

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This book provides a comprehensive discussion of numerical computing techniques with an emphasis on practical applications in the fields of civil, chemical, electrical, and mechanical engineering. It features two software libraries that implement the algorithms developed in the text - a MATLAB toolbox, and an ANSI C library. This book is intended for undergraduate students. Each chapter includes detailed case study examples from the four engineering fields with complete solutions provided in MATLAB and C, detailed objectives, numerous worked-out examples and illustrations, and summaries comparing the numerical techniques. Chapter problems are divided into separate analysis and computation sections. Documentation for the software is provided in text appendixes that also include a helpful review of vectors and matrices. The Instructor's Manual includes a disk with software documentation and complete solutions to both problems and examples in the book.

• Sales Rank: #539617 in Books
• Brand: Brand: Cengage Learning
• Published on: 1999-09-16
• Original language: English
• Number of items: 1
• Dimensions: 9.25" h x 7.50" w x 1.25" l, 2.85 pounds
• Binding: Hardcover
• 715 pages

Features

• Used Book in Good Condition

Review
1. NUMERICAL COMPUTATION Motivation and Objectives / Number Representation / Machine Precision / Round-Off Error / Truncation Error / Random Number Generation / Numerical Software / Applications / Chapter Summary / Problems 2. LINEAR ALGEBRAIC SYSTEMS Motivation and Objectives / Gauss-Jordan Elimination / Gaussian Elimination / LU Decomposition / Ill-Conditioned Systems / Iterative Methods / Applications / Chapter Summary / Problems 3. EIGENVALUES AND EIGENVECTORS Motivation and Objectives / The Characteristic Polynomial / Power Methods / Jacobi's Method / Householder Transformation / QR Method / Danilevsky's Method / Polynomial Roots / Applications / Chapter Summary / Problems 4. CURVE FITTING Motivation and Objectives / Interpolation / Newton's Difference Formula / Cubic Splines / Least Square / Two-Dimensional Interpolation / Applications / Chapter Summary / Problems 5. ROOT FINDING Motivation and Objectives / Bracketing Methods / Contraction Mapping Method / Secant Method / Muller's Method / Newton's Method / Polynomial Roots / Nonlinear Systems of Equations / Applications / Chapter Summary / Problems 6. OPTIMIZATION Motivation and Objectives / Local and Global Minima / Line Searches / Steepest Descent Method / Conjugate-Gradient Method / Quasi-Newton Methods / Penalty Functions / Simulated Annealing / Applications / Chapter Summary / Problems 7. DIFFERENTIATION AND INTEGRATION Motivation and Objectives / Numerical Differentiation / Noise-Corrupted Data / Newton-Cotes Integration Formulas / Romberg Integration / Gauss Quadrature / Improper Integrals / Multiple Integrals / Applications / Chapter Summary / Problems 8. ORDINARY DIFFERENTIAL EQUATIONS Motivation and Objectives / Euler's Method / Runge-Kutta Methods / Step Size Control / Multi-Step Methods / Bulirsch-Stoer Extrapolation Methods / Stiff Differential Equations / Boundary Value Problems / Applications / Summary / Problems 9. PARTIAL DIFFERENTIAL EQUATIONS Motivation and Objectives / Elliptic Equations / One-Dimensional Parabolic Equations / Two-Dimensional Parabolic Equations / One-Dimensional Hyperbolic Equations / Two-Dimensional Hyperbolic Equations / Applications / Chapter Summary / Problems 10. DIGITAL SIGNAL PROCESSING Motivation and Objectives / Fourier Transform / Fast Fourier Transform (FFT) / Correlation / Convolution Digital Filters / Two-Dimensional FFT / System Identification / Applications / Chapter Summary / Problems / REFERENCES AND FURTHER READING / APPENDIX 1: NLIB USING MATLAB(R) / A Numerical Toolbox: NLIB / Main-Program Support / Linear Algebraic Systems / Eigenvalues and Eigenvectors / Curve Fitting / Root Finding / Optimization / Differentiation and Integration / Ordinary Differential Equations / Partial Differential Equations / Digital Signal Processing / APPENDIX 2: NLIB USING C / A Numerical Library: NLIB / NLIB Data Types / NLIB Core: nlib.c / Tabular Display: show.c / Graphical Display: draw.c / Linear Algebraic Systems: linear.c / Eigenvalues and Eigenvectors: eigen.c / Curve Fitting: curves.c / Root Finding: roots.c / Optimization: optim.c / Differentiation and Integration: integ.c / Ordinary Differential Equations: ode.c / Partial Differential Equations: pde.c / Digital Signal Processing: dsp.c / APPENDIX 3: VECTORS AND MATRICES / Vector and Matrix Notation / Basic Operations / Inverses / Eigenvalues and Eigenvectors / Vector Norms / APPENDIX 4: ANSWERS TO SELECTED PROBLEMS / INDEX

About the Author
Robert J. Schilling is Professor Emeritus of Electrical and Computer Engineering at Clarkson University. Dr. Schilling's teaching interests include digital signal processing, control systems, robotics, nonlinear systems, computer graphics, and C++ and MATLAB programming. His research interests encompass adaptive signal processing, nonlinear system identification, active noise control, and control of robotic manipulators.

Bio: Sandra L. Harris is Associate Professor Emeritus of Chemical Engineering at Clarkson University. Dr. Harris's teaching interests include process control, thermodynamics, and biochemical engineering. Her research interests center around periodic processing, control of systems having varying dead times, and the generation of input signals for efficient process identification.

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• Sales Rank: #1197633 in eBooks
• Published on: 2011-12-16
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