Paul G. Spirakis & John H. Reif 
Byzantine Agreement by Distributed Randomization in 0(log N) Rounds [PDF ebook] 

Document from the year 2020 in the subject Mathematics – Statistics, , course: Economics, Statistic For Business, language: Albanian, abstract: Në përdorim të zakonshëm, njerëzit mendojnë për statist …

An essential guide for tackling outliers and anomalies in machine learning and data science. In recent years, machine learning (ML) has transformed virtually every area of research and technology, be …

Unlock the power of data storytelling to create change Become a Great Data Storyteller: Learn How You Can Drive Change with Data is a transformational journey guided by author and researcher Angelica …

The human mind is endowed with a remarkable capacity for creative synthesis between intuition and reason; this mental alchemy is the source of genius. A new synergy is emerging between human ingenuit …

A UNIQUELY PRACTICAL APPROACH TO ROBUST DESIGN FROM A STATISTICAL AND ENGINEERING PERSPECTIVE Variation in environment, usage conditions, and the manufacturing process has long presented a challenge …

A comprehensive introduction to bootstrap methods in the R programming environment Bootstrap methods provide a powerful approach to statistical data analysis, as they have more general applications t …

An up-to-date version of the complete, self-contained introduction to matrix analysis theory and practice Providing accessible and in-depth coverage of the most common matrix methods now used in stat …

Uniquely reflects an engineering view to social systems in a wide variety of contexts of application Social Systems Engineering: The Design of Complexity brings together a wide variety of application …

The focus of this book is to understand the concepts of probability theory and stochastic processes and the techniques are exposed to analyze the situations arise from time to time in the academic an …

INTERMITTENT DEMAND FORECASTING The first text to focus on the methods and approaches of intermittent, rather than fast, demand forecasting Intermittent Demand Forecasting is for anyone who is intere …