Model-driven individual-based forest ecology and individual-based methods in forest management are of increasing importance in many parts of the world.
This volume brings together the main results in the field of Bayesian Optimization (BO), focusing on the last ten years and showing how, on the basic framework, new methods have been specialized to solve emerging problems from machine learning, artificial intelligence, and system optimization.
This textbook provides a concise, clear, and rigorous presentation of the dynamics of linear systems that delivers the necessary tools for the analysis and design of mechanical/ structural systems, regardless of their complexity.
This book is devoted to biased sampling problems (also called choice-based sampling in Econometrics parlance) and over-identified parameter estimation problems.
This is the first book that examines the diverse range of experimental methods currently being used in the social sciences, gathering contributions by working economists engaged in experimentation, as well as by a political scientist, psychologists and philosophers of the social sciences.
This book shows how to decompose high-dimensional microarrays into small subspaces (Small Matryoshkas, SMs), statistically analyze them, and perform cancer gene diagnosis.
This book brings together expert researchers engaged in Monte-Carlo simulation-based statistical modeling, offering them a forum to present and discuss recent issues in methodological development as well as public health applications.
In the past decade there has been a worldwide evolution in evidence-based medicine that focuses on real-world Comparative Effectiveness Research (CER) to compare the effects of one medical treatment versus another in real world settings.
Dieses Lehrbuch erklärt verständlich, welche Vorteile die Bayes-Statistik den Human- und Sozialwissenschaften bietet, warum sie der klassischen Statistik mitunter überlegen ist und wie man sie konkret anwendet.
In diesem Buch wird Grundlegendes der Stochastik wie Kolmogoroffsche Axiome, Erwartungswerte, bedingte Wahrscheinlichkeiten, stochastische Unabhängigkeit, Satz von Bayes oder Satz von der totalen Wahrscheinlichkeit nicht mit „Zufall“ und „Wahrscheinlichkeit“, sondern mit „relativer Anteil“ formuliert.
The revised Fifth Edition of this popular textbook is redesigned with Excel 2019 and the new inclusion of interactive, user-friendly JMP to encourage business students to develop competitive advantages for use in their future careers.
Dieses Buch bietet einen systematisch aufgebauten Einstieg in angewandte Datenanalyse, Bayes´sche Statistik und moderne Simulationsmethoden mit dem Computer.
Dieses Lehrbuch ermöglicht einen barrierefreien Zugang zur Wahrscheinlichkeitsrechnung, indem es maßtheoretische Begriffe so lange wie möglich vermeidet.
Collecting together contributed lectures and mini-courses, this book details the research presented in a special semester titled "e;Geometric mechanics - variational and stochastic methods"e; run in the first half of 2015 at the Centre Interfacultaire Bernoulli (CIB) of the Ecole Polytechnique Federale de Lausanne.
Diese kompakte Einführung enthält die wichtigsten Grundlagen der mathematischen Statistik, die Beschreibung von Messungen und deren Fehler als Ergebnisse von Stichproben und die Methode der kleinsten Quadrate, angewandt auf verschieden schwierige konkrete Beispiele.
This book addresses a modern topic in reliability: multi-state and continuous-state system reliability, which has been intensively developed in recent years.
This book constitutes the proceedings of the 15th International Conference on Quantitative Evaluation Systems, QEST 2018, held in Beijing, China, in September 2018.
Gathering selected, revised and extended contributions from the conference 'Forecasting and Risk Management for Renewable Energy FOREWER', which took place in Paris in June 2017, this book focuses on the applications of statistics to the risk management and forecasting problems arising in the renewable energy industry.
This book is devoted to the development of optimal control theory for finite dimensional systems governed by deterministic and stochastic differential equations driven by vector measures.
This research monograph utilizes exact and Monte Carlo permutation statistical methods to generate probability values and measures of effect size for a variety of measures of association.
This book describes key methods and instruments for assessing diet-related factors, physical activity, social and environmental factors, physical characteristics and health-related outcomes in children and adolescents.
This book offers a review of electrochemical impedance spectroscopy (EIS) and its application in online condition monitoring of electrochemical devices, focusing on the practicalities of performing fast and accurate EIS.
This book presents a general method for deriving higher-order statistics of multivariate distributions with simple algorithms that allow for actual calculations.
This book constitutes the conference proceedings of the 10th International Conference on Network Games, Control and Optimization, NETGCOOP 2020, held in Cargese, Corsica, France, in September 2021*.
This essential book details intermediate-level statistical methods and frameworks for the clinician and medical researcher with an elementary grasp of health statistics and focuses on selecting the appropriate statistical method for many scenarios.
This book constitutes the proceedings of the 29th International Conference on Case-Based Reasoning, ICCBR 2021, which took place in Salamanca, Spain, during September 13-16, 2021.
