Learn IT - Books tags multivariate

GARCH Models: Structure, Statistical Inference and Financial Applications

John Wiley & Sons, 2019

Provides a comprehensive and updated study of GARCH models and their applications in finance, covering new developments in the discipline

This book provides a comprehensive and systematic approach to understanding GARCH time series models and their applications whilst presenting the most advanced results...

Post Quantum Cryptography

Springer, 2008

Quantum computers will break today's most popular public-key cryptographic systems, including RSA, DSA, and ECDSA. This book introduces the reader to the next generation of cryptographic algorithms, the systems that resist quantum-computer attacks: in particular, post-quantum public-key encryption systems and post-quantum public-key signature...

Numerical Computing with Python: Harness the power of Python to analyze and find hidden patterns in the data

Packt Publishing, 2018

Understand, explore, and effectively present data using the powerful data visualization techniques of Python

Key Features

Use the power of Pandas and Matplotlib to easily solve data mining issues

Understand the basics of statistics to build powerful predictive data...

Randomized Algorithms for Analysis and Control of Uncertain Systems: With Applications (Communications and Control Engineering)

Springer, 2012

The presence of uncertainty in a system description has always been a critical issue in control. The main objective of Randomized Algorithms for Analysis and Control of Uncertain Systems, with Applications (Second Edition) is to introduce the reader to the fundamentals of probabilistic methods in the analysis and design of...

Translating Statistics to Make Decisions: A Guide for the Non-Statistician

Apress, 2017

Examine and solve the common misconceptions and fallacies that non-statisticians bring to their interpretation of statistical results. Explore the many pitfalls that non-statisticiansâand also statisticians who present statistical reports to non-statisticiansâmust avoid if statistical results are to be correctly used for...

Data Analysis Using SAS Enterprise Guide

Cambridge University Press, 2009

The present book, Data Analysis Using SAS Enterprise Guide, provides readers with an overview of Enterprise Guide, the newest point-and-click interface from SAS. SAS Enterprise Guide is a graphical user (point-and-click) interface to the main SAS application, having relatively recently replaced the Analyst interface, which itself had replaced...

S+Functional Data Analysis User's Guide

Springer, 2005

S+Functional Data Analysis is the first commercial object oriented package for exploring, modeling, and analyzing functional data. Functional data analysis (FDA) handles longitudinal data and treats each observation as a function of time (or other variable). The functions are related. The goal is to analyze a sample of functions instead of a...

Meta-Learning in Computational Intelligence (Studies in Computational Intelligence)

Springer, 2011

In the early days of pattern recognition and statistical data analysis life was rather simple: datasets were relatively small, collected from well-designed experiments, analyzed using a few methods that had good theoretical background. Explosive growth of the use of computers led to the creation of huge amounts of data of all kinds,...

Statistical Methods in Analytical Chemistry (Chemical Analysis: A Series of Monographs on Analytical Chemistry and Its Applications)

John Wiley & Sons, 2000

This new edition of a successful, bestselling book continues to provide you with practical information on the use of statistical methods for solving real-world problems in complex industrial environments. Complete with examples from the chemical and pharmaceutical laboratory and manufacturing areas, this thoroughly updated book clearly...

Risk and Portfolio Analysis: Principles and Methods (Springer Series in Operations Research and Financial Engineering)

Springer, 2012

Investment and risk management problems are fundamental problems for financial institutions and involve both speculative and hedging decisions. A structured approach to these problems naturally leads one to the field of applied mathematics in order to translate subjective probability beliefs and attitudes towards risk and reward into...

Minitab Cookbook

Packt Publishing, 2014

With over 110 practical recipes, this is the ideal book for all statisticians who want to explore the vast capabilities of Minitab to organize data, analyze it, and visualize it with impactful graphs.

Overview

Gain an in-depth understanding of data formatting in Minitab

Understand the steps...

Robust Statistics: Theory and Methods (Probability and Statistics)

John Wiley & Sons, 2006

Classical statistical techniques fail to cope well with deviations from a standard distribution. Robust statistical methods take into account these deviations while estimating the parameters of parametric models, thus increasing the accuracy of the inference. Research into robust methods is flourishing, with new methods being developed and...

Result Page: 9 8 7 6 5 4 3 2 1