Sökt på: Böcker av Ronald K. Pearson
totalt 8 träffar
Mining Imperfect Data
Focuses on the identification and treatment of data anomalies, including examples that highlight different types of anomalies, their potential consequences if left undetected and …
Nonlinear Digital Filtering with Python
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 …
Exploratory Data Analysis Using R
Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA) and introduces the range of "e;interesting"e; - good, bad, and …
Nonlinear Digital Filtering with Python
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 …
Mining Imperfect Data
Data mining is concerned with the analysis of databases large enough that various anomalies, including outliers, incomplete data records, and more subtle phenomena such as …
Exploratory Data Analysis Using R
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 – …
Discrete-time Dynamic Models
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, …
Discrete-time Dynamic Models
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 …