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Fitting Equations to Data

Helps any serious data analyst with a computer to recognize the strengths and limitations of data, to test the assumptions implicit in the;

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Practical Handbook of Curve Fitting

experience in various disciplines and activities related to curve fitting. The book demonstrates how to analyze World data bases and graph and map;

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Practical Handbook of Curve Fitting

experience in various disciplines and activities related to curve fitting. The book demonstrates how to analyze World data bases and graph and map;

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A Shock-Fitting Primer

to implement, shock-fitting techniques provide the most accurate results. A Shock-Fitting Primer presents the proper numerical treatment;

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The Equations World

important tools for expressing a problem's data, showing the ways in which they assist in fitting parts together to solve the whole puzzle;

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Using R for Numerical Analysis in Science and Engineering

: Explains how to statistically analyze and fit data to linear and nonlinear models Explores numerical differentiation, integration, and;

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Numerical Methods in Engineering with Python

This book is an introduction to numerical methods for students in engineering. It covers solution of equations, interpolation and data;

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Spreadsheet Tools For Engineers Using Excel

discusses how to use Excel to solve a variety of problems in introductory engineering analysis, such as graphing data, unit conversions, simple;

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Data Fitting and Uncertainty

logical and accessible fashion. The primary goal of the text is to explain how data fitting via least squares works. The reader will find that the;

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Fatigue, Stress and Strain of Rubber Components

This book covers the fatigue testing of specimens, curve fitting of equations to the test data, and the use of such equations in life;

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Numerical Methods for Engineers and Scientists Using MATLAB (R)

, followed by curve fitting and interpolation of data. The book also provides detailed coverage of numerical differentiation and integration, as well;

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Least Squares Data Fitting with Applications

can use the data predictively. The main concern of Least Squares Data Fitting with Applications is how to do this on a computer with;

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Chemical Kinetics and Catalysis

, combining traditional background information with the latest computational methods for fitting data to appropriate rate equations. Demonstrates how;

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Numerical Analysis For Engineers & Scien

include classical methods for linear systems, eigenvalues, interpolation and integration, ODEs and data fitting, and also more modern ideas like;

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Engineering Statistics

is mostly likely to use: the display of data, confidence intervals, hypothesis testing, fitting straight lines to data, and designing experiments to;

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Concise Guide to Computing Foundations

mechanics of materials, geographic information systems, flow analysis, the solving of equations, curve fitting, optimization, and scientific data;

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Concise Guide to Computing Foundations

mechanics of materials, geographic information systems, flow analysis, the solving of equations, curve fitting, optimization, and scientific data;

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Numerical Methods Using Java

classes to build your own engineering solution Build solvers for industrial optimization problems Do data analysis using basic and advanced;

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Numerical Methods Using Java

Java covers a wide range of topics, including chapters on linear algebra, root finding, curve fitting, differentiation and integration, solving;

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An Introduction to Mathematical Epidemiology

model building, fitting to data, local and global analysis techniques. Various types of deterministic dynamical models are considered: ordinary;

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Applications of Statistics to Industrial Experimentation

described, giving the reader a firm, intuitive approach to the selection of the model most appropriate to the problem at hand. 1975 656 pp. Fitting;

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Fitting Statistical Distributions

Throughout the physical and social sciences, researchers face the challenge of fitting statistical distributions to their data. Although;

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Fitting Statistical Distributions

Throughout the physical and social sciences, researchers face the challenge of fitting statistical distributions to their data. Although;

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Mathematical Methods

This book is designed to meet the requirements of students of science and engineering. It discusses the following topics: Interpolation;

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Introduction to Computational Mathematics

, optimization algorithms, stochastic models, nonlinear curve-fitting to data modelling, bio-inspired algorithms and swarm intelligence. This book;

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Understanding MATLAB

This book is aimed at students and professionals who are trying to learn MATLAB through self-study. In a step-by-step process, the book;

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Singular Solutions of Nonlinear Elliptic and Parabolic Equations

equations with L1-data and questions on the removability of singularities of solutions to elliptic and parabolic second-order equations;

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