"Polynomial Regression" - similar Books and Chapters

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Book	Author(s)	Year	Publisher
Interpolation and Extrapolation Optimal Designs V1: Polynomial Regression and Approximation Theory	Giorgio Celant	2016	John Wiley & Sons
Polynomial Convexity	Edgar Lee Stout	2007	Birkhäuser Boston
Polynomial Mappings	Wladyslaw Narkiewicz	1995	Springer Berlin Heidelberg
Effective Polynomial Computation	Richard Zippel	1993	Springer US
Multivariate Polynomial Approximation	Manfred Reimer	2003	Birkhäuser Basel
Polynomial Response Maps	E.D. Sontag	1979	Springer Berlin Heidelberg
Polynomial Identity Rings	Vesselin Drensky; Edward Formanek	2004	Birkhäuser Basel
Numerical polynomial algebra	Hans J Stetter	2004	Society for Industrial and Applied Mathematics
Polynomial signal processing /	Mathews, V. John.; Sicuranza, Giovanni L.	[2000], ©2000.	Wiley,
Polynomial distributed lags	Robert Ernest Hall	1967	M.I.T.]
Regression/	Bunn, Cullen,; Luckert, Danny,
Regression	Frank Wyka	June 1989	Carroll & Graf Publishers
Polynomials and Polynomial Inequalities	Peter Borwein; Tamas Erdelyi	1995	Springer New York
Polynomial Identities in Algebras	Onofrio Mario Di Vincenzo; Antonio Giambruno	1st ed. 2021	Springer International Publishing
Polynomial Functional Dynamical Systems	Albert Luo		Springer International Publishing
Additive and Polynomial Representations	David H. Krantz; R Duncan Luce and Patrick Suppes	1971	Academic Press
Applications of polynomial systems	David A. Cox (ed.), Carlos D’Andrea, Alicia Dickenstein, Jonathan Hauenstein, Hal Schenck, Jessica Sidman (auth.)	2020	American Mathematical Society
Polynomial Methods in Combinatorics	Larry Guth	2016	American Mathematical Society
Rings with polynomial identities	Claudio Procesi	1973	Marcel Dekker, Inc.
Adaptive Regression	Yadolah Dodge; Jana Jureckova	2000	Springer New York
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Polynomial Regression	David J. Saville; Graham R. Wood	Statistical Methods: The Geometric Approach	David J. Saville; Graham R. Wood	1991	Springer New York
Polynomial Regression	Richard M. Heiberger; Erich Neuwirth	R Through Excel: A Spreadsheet Interface for Statistics, Data Analysis, and Graphics	Richard M. Heiberger; Erich Neuwirth	2009	Springer New York
Polynomial Regression	Jonathon D. Brown	Linear Models in Matrix Form: A Hands-On Approach for the Behavioral Sciences	Jonathon D. Brown	2014	Springer International Publishing
Polynomial Regression	G. Barrie Wetherill	Solutions to Exercises in Intermediate Statistical Methods	G. Barrie Wetherill	1981	Springer Netherlands
Polynomial regression	G. Barrie Wetherill	Intermediate Statistical Methods	G. Barrie Wetherill	1981	Springer Netherlands
Polynomial Regression	Angela Dean; Daniel Voss; Danel Draguljić	Design and Analysis of Experiments	Angela Dean; Daniel Voss; Danel Draguljić	2nd ed. 2017	Springer International Publishing
Polynomial Regression		Design and Analysis of Experiments	Angela M. Dean; Daniel Voss	1999	Springer New York
Polynomial Regression		Applied Regression Analysis: A Research Tool	John O. Rawlings; Sastry G. Pantula; David A. Dickey	2nd ed. 1998	Springer New York
Polynomial Regression	Daryl S. Paulson	Handbook of Regression and Modeling: Applications for the Clinical and Pharmaceutical Industries	Daryl S. Paulson	2006	Routledge
Polynomial Regression		Python Machine Learning. A Crash Course for Beginners to Understand Machine learning, Artificial Intelligence, Neural Networks, and Deep Learning with Scikit-Learn, TensorFlow, and Keras.	Josh Hugh Learning	2019
Polynomial Regression		Mastering machine learning algorithms: expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work	Giuseppe Bonaccorso	2020	Packt Publishing Ltd
Polynomial regression		Mastering machine learning with scikit-learn: apply effective learning algorithms to real-world problems using scikit-learn	Hackeling, Gavin	2014	Packt Publishing
Polynomial Regression		Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - Concepts, Tools, and Techniques to Build Intelligent Systems, 2nd Edition	Aurélien Géron	2019	O'Reilly
Polynomial Regression		Applied Supervised Learning with R: Use machine learning libraries of R to build models that solve business problems and predict future trends	Karthik Ramasubramanian, Jojo Moolayil	2019	Packt Publishing
Polynomial Regression		MatLAB 6 0 Using
Polynomial Regression		Statistics in a Nutshell A Desktop Quick Reference	Sarah Boslaugh, Paul Andrew Watters	2008	O'Reilly Media
Polynomial Regression		Encyclopedia of Biostatistics	Peter Armitage, Theodore Colton	2005	John Wiley
Polynomial Regression		Using Matlab V 6		2000
Polynomial regression		Time Series Analysis: With Applications in R	Cryer, Jonathan D.	2008	Springer
Polynomial regression		Bayesian Analysis with Python	Osvaldo Martin	2016	Packt Publishing
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries