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Curve-fitting techniques,
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Year: 1969 Publisher: Delft : Dept. of Mechanical Engineering, Delft University of Technology,

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Curve fitting.

Data fitting in the chemical sciences by the method of least squares.
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ISBN: 0471934127 Year: 1992 Publisher: Chichester : Wiley,

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Model-free curve estimation
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ISBN: 0412042517 9780412042515 Year: 1993 Volume: 56 Publisher: New York, N.Y. Chapman & Hall

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C curve fitting and modeling for scientists and engineers
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ISBN: 0070517614 Year: 1992 Publisher: New York (N.Y.): McGraw-Hill,

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Numerical methods of curve fitting
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Year: 1961 Publisher: Cambridge : Cambridge university press,

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A practical guide to the method of least squares
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Year: 1959 Publisher: Berkeley, CA : University of California Radiation Laboratory,

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Pie charts, bar graphs, and pareto charts.
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ISBN: 9781473992627 Year: 2013 Publisher: Texas, USA : Math Tutor DVD LLC.,

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Jason Gibson explains how to create a variety of different charts to use in statistical analysis. He discusses the best cases for using each chart, and he completes some example charts for practice.

Applied smoothing techniques for data analysis : the kernel approach with S-Plus illustrations
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ISBN: 128037523X 9786610375233 0585484104 9780585484105 9781280375231 0198523963 9780198523963 6610375232 Year: 1997 Publisher: [Place of publication not identified] Clarendon Press

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Data visualization : Chicago Department of Innovation & Technology.
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ISBN: 9781473997394 Year: 2017 Publisher: London, United Kingdom : SAGE Publications Ltd,

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Tom Schenk of the City of Chicago explains how his team uses data visualizations to communicate with different audiences, including technical staff, policy makers, and the general public. He describes the software he uses and discusses the benefits of effectively communicating complex data.


Book
Control theoretic splines : optimal control, statistics, and path planning
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ISBN: 1282457969 1282936069 9786612936067 9786612457968 1400833876 9781400833870 9781282457966 6612457961 9780691132969 0691132968 Year: 2010 Publisher: Princeton : Princeton University Press,

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Splines, both interpolatory and smoothing, have a long and rich history that has largely been application driven. This book unifies these constructions in a comprehensive and accessible way, drawing from the latest methods and applications to show how they arise naturally in the theory of linear control systems. Magnus Egerstedt and Clyde Martin are leading innovators in the use of control theoretic splines to bring together many diverse applications within a common framework. In this book, they begin with a series of problems ranging from path planning to statistics to approximation. Using the tools of optimization over vector spaces, Egerstedt and Martin demonstrate how all of these problems are part of the same general mathematical framework, and how they are all, to a certain degree, a consequence of the optimization problem of finding the shortest distance from a point to an affine subspace in a Hilbert space. They cover periodic splines, monotone splines, and splines with inequality constraints, and explain how any finite number of linear constraints can be added. This book reveals how the many natural connections between control theory, numerical analysis, and statistics can be used to generate powerful mathematical and analytical tools. This book is an excellent resource for students and professionals in control theory, robotics, engineering, computer graphics, econometrics, and any area that requires the construction of curves based on sets of raw data.

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