Least Squares Data Fitting with Applications

Least Squares Data Fitting with Applicat

📁 Least Squares Data Fitting with Applications

✍ Per Christian Hansen, Víctor Pereyra, Godela Scherer 📂 Library 📅 0 🌐 English

As one of the classical statistical regression techniques, and often the first to be taught to new students, least squares fitting can be a very effective tool in data analysis. Given measured data, we establish a relationship between independent and dependent variables so that we can use the data p

Chi-Squared Goodness of Fit Tests with A

📁 Chi-Squared Goodness of Fit Tests with Applications

📂 Library 📅 2013 🏛 Academic Press 🌐 English

Chi-Squared Goodness of Fit Tests with A

📁 Chi-Squared Goodness of Fit Tests with Applications

✍ Voinov V., Nikulin M., Balakrishnan N. 📂 Library 📅 2013 🏛 Elsevier 🌐 English

<p>Chi-Squared Goodness of Fit Tests with Applications provides a thorough and complete context for the theoretical basis and implementation of Pearson's monumental contribution and its wide applicability for chi-squared goodness of fit tests. The book is ideal for researchers and scientists conduct

Data Fitting and Uncertainty: A practica

📁 Data Fitting and Uncertainty: A practical introduction to weighted least squares and beyond

✍ Tilo Strutz (auth.) 📂 Library 📅 2011 🏛 Vieweg+Teubner Verlag 🌐 English

<p>The subject of data fitting bridges many disciplines, especially those traditionally dealing with statistics like physics, mathematics, engineering, biology, economy, or psychology, but also more recent fields like computer vision. This book addresses itself to engineers and computer scientists o

Dynamic Data Assimilation: A Least Squar

📁 Dynamic Data Assimilation: A Least Squares Approach (Encyclopedia of Mathematics and its Applications)

✍ John M. Lewis, S. Lakshmivarahan, Sudarshan Dhall 📂 Library 📅 2006 🌐 English

Dynamic data assimilation is the assessment, combination and synthesis of observational data, scientific laws and mathematical models to determine the state of a complex physical system, for instance as a preliminary step in making predictions about the system's behaviour. The topic has assumed incr

Dynamic data assimilation: A least squar

📁 Dynamic data assimilation: A least squares approach

✍ John M. Lewis, S. Lakshmivarahan, Sudarshan Dhall 📂 Library 📅 2006 🏛 CUP 🌐 English

Dynamic data assimilation is the assessment, combination and synthesis of observational data, scientific laws and mathematical models to determine the state of a complex physical system, for instance as a preliminary step in making predictions about the system's behaviour. The topic has assumed incr