Ronald K. Pearson – författare
Visar alla böcker från författaren Ronald K. Pearson. Handla med fri frakt och snabb leverans.
11 produkter
Discrete-time Dynamic Models
Inbunden, 1999
4094 kr
Lägg i varukorg
Fuelled by advances in computer technology, model-based approaches to the control of industrial processes are now widespread. While there is an enormous literature on modelling, the difficult first step of selecting an appropriate model structure has received almost no attention. This book fills …
Discrete-time Dynamic Models
E-bok, 1999
2640 kr
Lägg i varukorg
Fueled by advances in computer technology, model-based approaches to the control of industrial processes are now widespread. While there is an enormous literature on modeling, the difficult first step of selecting an appropriate model structure has received almost no attention. This book fills the …
Exploratory Data Analysis Using R
Häftad, 2026
833 kr
Lägg i varukorg
Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA), and this revised edition is accompanied by the R package ExploreTheData that implements many of the approaches described. As before, the primary focus of the book is on identifying …
Exploratory Data Analysis Using R
Inbunden, 2026
1569 kr
Lägg i varukorg
Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA), and this revised edition is accompanied by the R package ExploreTheData that implements many of the approaches described. As before, the primary focus of the book is on identifying …
Exploratory Data Analysis Using R
E-bok, 2026
932 kr
Lägg i varukorg
Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA), and this revised edition is accompanied by the R package ExploreTheData that implements many of the approaches described. As before, the primary focus of the book is on identifying …
Nonlinear Digital Filtering with Python
An Introduction
Av Moncef Gabbouj, Ronald K. Pearson
E-bok, 2018
1022 kr
Lägg i varukorg
Nonlinear Digital Filtering with Python: An Introduction discusses important structural filter classes including the median filter and a number of its extensions (e.g., weighted and recursive median filters), and Volterra filters based on polynomial nonlinearities. Adopting both structural and …
Nonlinear Digital Filtering with Python
An Introduction
Av Ronald K. Pearson, Moncef Gabbouj
Inbunden, 2015
2106 kr
Lägg i varukorg
Nonlinear Digital Filtering with Python: An Introduction discusses important structural filter classes including the median filter and a number of its extensions (e.g., weighted and recursive median filters), and Volterra filters based on polynomial nonlinearities. Adopting both structural and …
Nonlinear Digital Filtering with Python
An Introduction
Av Moncef Gabbouj, Ronald K. Pearson
E-bok, 2018
1000 kr
Lägg i varukorg
Nonlinear Digital Filtering with Python: An Introduction discusses important structural filter classes including the median filter and a number of its extensions (e.g., weighted and recursive median filters), and Volterra filters based on polynomial nonlinearities. Adopting both structural and …
Exploratory Data Analysis Using R
2018
975 kr
Lägg i varukorg
Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA) and introduces the range of "interesting" – good, bad, and ugly – features that can be found in data, and why it is important to find them. It also introduces the mechanics of using R to …
Mining Imperfect Data
With Examples in R and Python
Häftad, 2020
1205 kr
Lägg i varukorg
It has been estimated that as much as 80% of the total effort in a typical data analysis project is taken up with data preparation, including reconciling and merging data from different sources, identifying and interpreting various data anomalies, and selecting and implementing appropriate …
Exploratory Data Analysis Using R
Inbunden, 2018
1657 kr
Tillfälligt slut
Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA) and introduces the range of "interesting" – good, bad, and ugly – features that can be found in data, and why it is important to find them. It also introduces the mechanics of using R to …
