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Théorie des probabilités, statistiques

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Général, dictionnaires Basics Arithmétique, Algèbre Géométrie Analyse Théorie des probabilités, statistiques Autre

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Couverture du Gianluca Manzo: Analytical Sociology

Gianluca Manzo: Analytical Sociology

Demonstrates the power of the theoretical framework of analytical sociology in explaining a large array of social phenomena Analytical Sociology: Actions and Networks presents the most …

Couverture du Iain Pardoe: Applied Regression Modeling

Iain Pardoe: Applied Regression Modeling

Master the fundamentals of regression without learning calculus with this one-stop resource The newly and thoroughly revised 3rd Edition of Applied Regression Modeling delivers a concise but …

Couverture du Michael G. Schimek: Smoothing and Regression

Michael G. Schimek: Smoothing and Regression

A comprehensive introduction to a wide variety of univariate and multivariate smoothing techniques for regression Smoothing and Regression: Approaches, Computation, and Application bridges the …

Couverture du Ad Ridder & Radislav Vaisman: Fast Sequential Monte Carlo Methods for Counting and Optimization

Ad Ridder & Radislav Vaisman: Fast Sequential Monte Carlo Methods for Counting and Optimization

A comprehensive account of the theory and application of Monte Carlo methods Based on years of research in efficient Monte Carlo methods for estimation of rare-event probabilities, counting …

Couverture du Ivan Jeliazkov & Xin-She Yang: Bayesian Inference in the Social Sciences

Ivan Jeliazkov & Xin-She Yang: Bayesian Inference in the Social Sciences

Presents new models, methods, and techniques and considers important real-world applications in political science, sociology, economics, marketing, and finance Emphasizing interdisciplinary …

Couverture du S. David Promislow: Fundamentals of Actuarial Mathematics

S. David Promislow: Fundamentals of Actuarial Mathematics

* Provides a comprehensive coverage of both the deterministic and stochastic models of life contingencies, risk theory, credibility theory, multi-state models, and an introduction to modern …

Couverture du Paul Embrechts: Selfsimilar Processes

Paul Embrechts: Selfsimilar Processes

The modeling of stochastic dependence is fundamental for understanding random systems evolving in time. When measured through linear correlation, many of these systems exhibit a slow correlation deca …

Couverture du Sarah R. Brown & Walter M. Gregory: A Practical Guide to Designing Phase II Trials in Oncology

Sarah R. Brown & Walter M. Gregory: A Practical Guide to Designing Phase II Trials in Oncology

How to identify optimal phase II trial designs Providing a practical guide containing the information needed to make crucial decisions regarding phase II trial designs, A Practical Guide to …

Couverture du Debra Wetcher-Hendricks: Analyzing Quantitative Data

Debra Wetcher-Hendricks: Analyzing Quantitative Data

A user-friendly, hands-on guide to recognizing and conducting proper research techniques in data collection Offering a unique approach to numerical research methods, Analyzing Quantitative …

Couverture du Judea Pearl & Madelyn Glymour: Causal Inference in Statistics

Judea Pearl & Madelyn Glymour: Causal Inference in Statistics

CAUSAL INFERENCE IN STATISTICS A Primer Causality is central to the understanding and use of data. Without an understanding of cause-effect relationships, we cannot use data to answer questions …

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