Learn IT - Books tags statistical

Introduction to Probability and Statistics

Duxbury Press, 2008

Every time you pick up a newspaper or a magazine, watch TV, or surf the Internet, you encounter statistics. Every time you fill out a questionnaire, register at an online website, or pass your grocery rewards card through an electronic scanner, your personal information becomes part of a database containing your personal...

Applied Mathematics for Physical Chemistry (2nd Edition)

Prentice Hall, 1997

Unique in its approach, content, and perspective, this book helps readers bridge the application gap between mathematics and chemistry and to acquire a fuller set of mathematical tools necessary for such applications. Using an abundance of fully-worked examples, it shows step-by-step how to directly apply mathematics to physical chemistry...

The Art & Science of Technical Analysis: Market Structure, Price Action & Trading Strategies (Wiley Trading)

John Wiley & Sons, 2012

A breakthrough trading book that provides powerful insights on profitable technical patterns and strategies

The Art and Science of Technical Analysis is a groundbreaking work that bridges the gaps between the academic view of markets, technical analysis, and profitable trading. The book explores why randomness...

High-Dimensional Covariance Estimation: With High-Dimensional Data

John Wiley & Sons, 2013

Methods for estimating sparse and large covariance matrices

Covariance and correlation matrices play fundamental roles in every aspect of the analysis of multivariate data collected from a variety of fields including business and economics, health care, engineering, and environmental and physical sciences....

The Structural Representation of Proximity Matrices With Matlab (ASA-SIAM Series on Statistics and Applied Probability)

SIAM, 2006

The Structural Representation of Proximity Matrices with MATLAB presents and demonstrates the use of functions within a MATLAB computational environment, affecting various structural representations for the proximity information that is assumed to be available on a set of objects. The representations included in the book have been developed...

Statistical Computing in C++ and R (Chapman & Hall/CRC The R Series)

CRC Press, 2011

With the advancement of statistical methodology inextricably linked to the use of computers, new methodological ideas must be translated into usable code and then numerically evaluated relative to competing procedures. In response to this, Statistical Computing in C++ and R concentrates on the writing of code rather...

Hands-On Markov Models with Python: Implement probabilistic models for learning complex data sequences using the Python ecosystem

Packt Publishing, 2018

Unleash the power of unsupervised machine learning in Hidden Markov Models using TensorFlow, pgmpy, and hmmlearn

Key Features

Build a variety of Hidden Markov Models (HMM)

Create and apply models to any sequence of data to analyze, predict, and extract valuable...

Handbook of Formulas and Tables for Signal Processing (Electrical Engineering Handbook)

CRC Press, 1998

Signal processing is a broad and timeless area. The term "signal" includes audio, video, speech, image, communication, geophysical, sonar, radar, medical, and more. Signal processing applies to the theory and application of filtering, coding, transmitting, estimating, detecting, analyzing, recognizing, synthesizing, recording, and...

Statistical and Inductive Inference by Minimum Message Length (Information Science and Statistics)

Springer, 2005

My thanks are due to the many people who have assisted in the work reported here and in the preparation of this book. The work is incomplete and this account of it rougher than it might be. Such virtues as it has owe much to others; the faults are all mine.

My work leading to this book began when David Boulton and I attempted to develop...

Information Theory and Statistical Learning

Springer, 2008

This book presents theoretical and practical results of information theoretic methods used in the context of statistical learning. Its major goal is to advocate and promote the importance and usefulness of information theoretic concepts for understanding and developing the sophisticated machine learning methods necessary not only...

Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner

John Wiley & Sons, 2010

Incorporating a new focus on data visualization and time series forecasting, Data Mining for Business Intelligence, Second Edition continues to supply insightful, detailed guidance on fundamental data mining techniques. This new edition guides readers through the use of the Microsoft Office Excel add-in XLMiner for developing...

The Book of R: A First Course in Programming and Statistics

No Starch Press, 2016

The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical...

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