Practical Machine Learning for Streaming Data with Python : Design, Develop, and Validate Online Learning Models / Sayan Putatunda
A quick start guide for data scientists and machine learning engineers looking to implement machine learning models for streaming ...
Lee mas
Principles of Mathematics in Operations Research
Principles of Mathematics in Operations Research is a comprehensive survey of the mathematical concepts and principles of ...
Lee mas
Probability and Risk Analysis
This book presents notions and ideas from the foundations of a statistical treatment of risks. Bayesian methods are frequently ...
Lee mas
Probability and Risk Analysis
This book presents notions and ideas from the foundations of a statistical treatment of risks. Bayesian methods are frequently ...
Lee mas
Probability in Electrical Engineering and Computer Science An Application-Driven Course
This revised textbook motivates and illustrates the techniques of applied probability by applications in electrical engineering ...
Lee mas
Process Optimization
PROCESS OPTIMIZATION: A Statistical Approach is a textbook for a course in experimental optimization techniques for industrial ...
Lee mas
Proportional Hazards Regression
The place in survival analysis now occupied by proportional hazards models and their generalizations is so large that it ...
Lee mas
Quantitative Corporate Finance
Guerard and Schwartz cover a wide variety of tools and techniques used to evaluate and manage financial performance, with ...
Lee mas
Recent Advances in Linear Models and Related Areas : Essays in Honour of Helge Toutenburg
The theory of linear models and regression analysis plays an essential role in the development of methods for the statistical ...
Lee mas
Regression Methods in Biostatistics
This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used ...
Lee mas
Researching Elites and Power Theory, Methods, Analyses
This book describes how elite studies theoretically and methodologically construct their object, i.e. how particular conceptualizations ...
Lee mas
Régression : Théorie et applications = Regression : Theory and Applications
This book explains in detail, with supporting examples, one of the most common statistical methods: regression. The first ...
Lee mas
Semiparametric Modeling of Implied Volatility
This book fills a gap in the financial literature by bringing together both recent advances in the theory of implied volatility ...
Lee mas
Statistical Demography and Forecasting
For statisticians the book provides a unique introduction to demographic problems in a familiar language. For demographers, ...
Lee mas
Statistical Learning from a Regression Perspective
Statistical Learning from a Regression Perspective considers statistical learning applications when interest centers on the ...
Lee mas
Statistical Methods for Biostatistics and Related Fields
Biostatistics is one of the scientific fields for which the recent developments have been extremely important. It is also ...
Lee mas
Statistical Models and Methods for Biomedical and Technical Systems
An outgrowth of the "International Conference on Statistical Models for Biomedical and Technical Systems," this book is ...
Lee mas
Statistical Models and Methods for Financial Markets
This book presents statistical methods and models of importance to quantitative finance and links finance theory to market ...
Lee mas
Statistical Reasoning in Medicine
The successful Statistical Reasoning in Medicine: The Intuitive P-value Primer, with its novel emphasis on patient and community ...
Lee mas
Statistics Applied to Clinical Trials
This book explains classical statistical analyses of clinical trials,andaddresses relatively novel issues, including equivalence ...
Lee mas
