Numerical Analysis for Statisticians (Statistics and Computing)
Product Description
Numerical Analysis for Statisticians (Statistics and Computing)
Numerical analysis is the study of computation and its accuracy, stability and often its implementation on a computer. This book focuses on the principles of numerical analysis and is intended to equip those readers who use statistics to craft their own software and to understand the advantages and disadvantages of different numerical methods.
Technical Specifications
You might also like
Pattern Recognition and Machine Learning (Information Science and Statistics)
Optimization (Springer Texts in Statistics)
Linear Algebra and Learning from Data
Categorical Data Analysis
Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids
Numerical Optimization (Springer Series in Operations Research and Financial Engineering)
High-Dimensional Probability: An Introduction with Applications in Data Science (Cambridge Series in Statistical and Probabilistic Mathematics)
Computer Age Statistical Inference: Algorithms, Evidence, and Data Science (Institute of Mathematical Statistics Monographs)
Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science)
Deep Learning with Python