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Author : Hiroshi Akima
Publisher :
ISBN 13 :
Total Pages : 40 pages
Book Rating : 4.0/5 ( download)
Download or read book A Method of Smooth Curve Fitting written by Hiroshi Akima and published by . This book was released on 1969 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Hiroshi Akima
Publisher :
ISBN 13 :
Total Pages : 30 pages
Book Rating : 4.:/5 (185 download)
Download or read book A Method of Smooth Curve Fitting written by Hiroshi Akima and published by . This book was released on 1969 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new mathematical method of fitting a smooth curve to a set of given points in a plane is developed, and a computer subroutine is programmed to implement the method. This method is devised in such a way that the resultant curve will pass through all the given points and will look smooth and natural. The interpolation between the given points is performed locally, and no assumption of the functional form is made for the whole curve.
Author : Hiroshi Akima
Publisher :
ISBN 13 :
Total Pages : 52 pages
Book Rating : 4.0/5 ( download)
Download or read book A Method of Bivariate Interpolation and Smooth Surface Fitting Based on Local Procedures written by Hiroshi Akima and published by . This book was released on 1973 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Paul Dierckx
Publisher : Oxford University Press
ISBN 13 : 9780198534402
Total Pages : 308 pages
Book Rating : 4.5/5 (344 download)
Download or read book Curve and Surface Fitting with Splines written by Paul Dierckx and published by Oxford University Press. This book was released on 1995 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fitting of a curve or surface through a set of observational data is a very frequent problem in different disciplines (mathematics, engineering, medicine, ...) with many interesting applications. This book describes the algorithms and mathematical fundamentals of a widely used software package for data fitting with (tensor product) splines. As such it gives a survey of possibilities and benefits but also of the problems to cope with when approximating with this popular type of function. In particular it is demonstrated in detail how the properties of B-splines can be fully exploited for improving the computational efficiency and for incorporating different boundary or shape preserving constraints. Special attention is also paid to strategies for an automatic and adaptive knot selection with intent to obtain serious data reductions. The practical use of the smoothing software is illustrated with many examples, academic as well as taken from real life.
Author : Rafael A. Irizarry
Publisher : CRC Press
ISBN 13 : 1000708039
Total Pages : 794 pages
Book Rating : 4.0/5 (7 download)
Download or read book Introduction to Data Science written by Rafael A. Irizarry and published by CRC Press. This book was released on 2019-11-20 with total page 794 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R programming, data wrangling, data visualization, predictive algorithm building, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation. This book is a textbook for a first course in data science. No previous knowledge of R is necessary, although some experience with programming may be helpful. The book is divided into six parts: R, data visualization, statistics with R, data wrangling, machine learning, and productivity tools. Each part has several chapters meant to be presented as one lecture. The author uses motivating case studies that realistically mimic a data scientist’s experience. He starts by asking specific questions and answers these through data analysis so concepts are learned as a means to answering the questions. Examples of the case studies included are: US murder rates by state, self-reported student heights, trends in world health and economics, the impact of vaccines on infectious disease rates, the financial crisis of 2007-2008, election forecasting, building a baseball team, image processing of hand-written digits, and movie recommendation systems. The statistical concepts used to answer the case study questions are only briefly introduced, so complementing with a probability and statistics textbook is highly recommended for in-depth understanding of these concepts. If you read and understand the chapters and complete the exercises, you will be prepared to learn the more advanced concepts and skills needed to become an expert.
Author : John R. Hauser
Publisher : Springer Science & Business Media
ISBN 13 : 1402099207
Total Pages : 1013 pages
Book Rating : 4.4/5 (2 download)
Download or read book Numerical Methods for Nonlinear Engineering Models written by John R. Hauser and published by Springer Science & Business Media. This book was released on 2009-03-24 with total page 1013 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are many books on the use of numerical methods for solving engineering problems and for modeling of engineering artifacts. In addition there are many styles of such presentations ranging from books with a major emphasis on theory to books with an emphasis on applications. The purpose of this book is hopefully to present a somewhat different approach to the use of numerical methods for - gineering applications. Engineering models are in general nonlinear models where the response of some appropriate engineering variable depends in a nonlinear manner on the - plication of some independent parameter. It is certainly true that for many types of engineering models it is sufficient to approximate the real physical world by some linear model. However, when engineering environments are pushed to - treme conditions, nonlinear effects are always encountered. It is also such - treme conditions that are of major importance in determining the reliability or failure limits of engineering systems. Hence it is essential than engineers have a toolbox of modeling techniques that can be used to model nonlinear engineering systems. Such a set of basic numerical methods is the topic of this book. For each subject area treated, nonlinear models are incorporated into the discussion from the very beginning and linear models are simply treated as special cases of more general nonlinear models. This is a basic and fundamental difference in this book from most books on numerical methods.
Author : Harvey Motulsky
Publisher : Oxford University Press
ISBN 13 : 9780198038344
Total Pages : 352 pages
Book Rating : 4.0/5 (383 download)
Download or read book Fitting Models to Biological Data Using Linear and Nonlinear Regression written by Harvey Motulsky and published by Oxford University Press. This book was released on 2004-05-27 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most biologists use nonlinear regression more than any other statistical technique, but there are very few places to learn about curve-fitting. This book, by the author of the very successful Intuitive Biostatistics, addresses this relatively focused need of an extraordinarily broad range of scientists.
Author :
Publisher : Krishna Prakashan Media
ISBN 13 : 9788182830967
Total Pages : 832 pages
Book Rating : 4.8/5 (39 download)
Download or read book Engineering Mathematics - III written by and published by Krishna Prakashan Media. This book was released on with total page 832 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : J. M. Chambers
Publisher : CRC Press
ISBN 13 : 135108075X
Total Pages : 410 pages
Book Rating : 4.3/5 (51 download)
Download or read book Graphical Methods for Data Analysis written by J. M. Chambers and published by CRC Press. This book was released on 2018-01-18 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book present graphical methods for analysing data. Some methods are new and some are old, some require a computer and others only paper and pencil; but they are all powerful data analysis tools. In many situations, a set of data even a large set- can be adequately analysed through graphical methods alone. In most other situations, a few well-chosen graphical displays can significantly enhance numerical statistical analyses.
Author :
Publisher :
ISBN 13 :
Total Pages : 40 pages
Book Rating : 4.3/5 (243 download)
Download or read book ESSA Technical Report ERL-ITS. written by and published by . This book was released on 1969 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : United States. Environmental Science Services Administration
Publisher :
ISBN 13 :
Total Pages : 40 pages
Book Rating : 4.F/5 ( download)
Download or read book ESSA Technical Report ERL. written by United States. Environmental Science Services Administration and published by . This book was released on 1969 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 574 pages
Book Rating : 4.:/5 (318 download)
Download or read book ESSA Technical Report ERL. written by and published by . This book was released on 1968 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : United States. National Oceanic and Atmospheric Administration
Publisher :
ISBN 13 :
Total Pages : 40 pages
Book Rating : 4.:/5 (31 download)
Download or read book NOAA Technical Report ERL. written by United States. National Oceanic and Atmospheric Administration and published by . This book was released on 1969 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : P. G. Guest
Publisher : Cambridge University Press
ISBN 13 : 1107646952
Total Pages : 439 pages
Book Rating : 4.1/5 (76 download)
Download or read book Numerical Methods of Curve Fitting written by P. G. Guest and published by Cambridge University Press. This book was released on 2012-12-13 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 1961 book provides information on the methods of treating series of observations; the field covered embraces portions of both statistics and numerical analysis.
Author : Peter Lancaster
Publisher :
ISBN 13 :
Total Pages : 296 pages
Book Rating : 4.:/5 (318 download)
Download or read book Curve and Surface Fitting written by Peter Lancaster and published by . This book was released on 1986 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to reveal the foundations and major features of several basic methods for curve and surface fitting that are currently in use.
Author : Alan R. Jones
Publisher : Routledge
ISBN 13 : 1351661442
Total Pages : 498 pages
Book Rating : 4.3/5 (516 download)
Download or read book Best Fit Lines & Curves written by Alan R. Jones and published by Routledge. This book was released on 2018-10-09 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: Best Fit Lines and Curves, and Some Mathe-Magical Transformations (Volume III of the Working Guides to Estimating & Forecasting series) concentrates on techniques for finding the Best Fit Line or Curve to some historical data allowing us to interpolate or extrapolate the implied relationship that will underpin our prediction. A range of simple ‘Moving Measures’ are suggested to smooth the underlying trend and quantify the degree of noise or scatter around that trend. The advantages and disadvantages are discussed and a simple way to offset the latent disadvantage of most Moving Measure Techniques is provided. Simple Linear Regression Analysis, a more formal numerical technique that calculates the line of best fit subject to defined ‘goodness of fit’ criteria. Microsoft Excel is used to demonstrate how to decide whether the line of best fit is a good fit, or just a solution in search of some data. These principles are then extended to cover multiple cost drivers, and how we can use them to quantify 3-Point Estimates. With a deft sleight of hand, certain commonly occurring families of non-linear relationships can be transformed mathe-magically into linear formats, allowing us to exploit the powers of Regression Analysis to find the Best Fit Curves. The concludes with an exploration of the ups and downs of seasonal data (Time Series Analysis). Supported by a wealth of figures and tables, this is a valuable resource for estimators, engineers, accountants, project risk specialists as well as students of cost engineering.
Author : Achim Zielesny
Publisher : Springer
ISBN 13 : 3319325450
Total Pages : 498 pages
Book Rating : 4.3/5 (193 download)
Download or read book From Curve Fitting to Machine Learning written by Achim Zielesny and published by Springer. This book was released on 2016-04-13 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: This successful book provides in its second edition an interactive and illustrative guide from two-dimensional curve fitting to multidimensional clustering and machine learning with neural networks or support vector machines. Along the way topics like mathematical optimization or evolutionary algorithms are touched. All concepts and ideas are outlined in a clear cut manner with graphically depicted plausibility arguments and a little elementary mathematics.The major topics are extensively outlined with exploratory examples and applications. The primary goal is to be as illustrative as possible without hiding problems and pitfalls but to address them. The character of an illustrative cookbook is complemented with specific sections that address more fundamental questions like the relation between machine learning and human intelligence.All topics are completely demonstrated with the computing platform Mathematica and the Computational Intelligence Packages (CIP), a high-level function library developed with Mathematica's programming language on top of Mathematica's algorithms. CIP is open-source and the detailed code used throughout the book is freely accessible.The target readerships are students of (computer) science and engineering as well as scientific practitioners in industry and academia who deserve an illustrative introduction. Readers with programming skills may easily port or customize the provided code. "'From curve fitting to machine learning' is ... a useful book. ... It contains the basic formulas of curve fitting and related subjects and throws in, what is missing in so many books, the code to reproduce the results.All in all this is an interesting and useful book both for novice as well as expert readers. For the novice it is a good introductory book and the expert will appreciate the many examples and working code". Leslie A. Piegl (Review of the first edition, 2012).
