A First Course in Statistical Inference
Offers a modern and accessible introduction to Statistical Inference, the science of inferring key information from data. ...
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Advancing Human Assessment
This book describes the extensive contributions made toward the advancement of human assessment by scientists from one ...
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An Introduction to Kolmogorov Complexity and Its Applications, 3
Written by two experts in the field, this book is ideal for advanced undergraduate students, graduate students, and researchers ...
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Applied Multivariate Statistical Analysis
This book presents the tools and concepts of multivariate data analysis in a way that is understandable for non-mathematicians ...
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Bayesian Core: A Practical Approach to Computational Bayesian Statistics
This Bayesian modeling book provides an operational methodology for conducting Bayesian inference, rather than focusing on ...
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Design of Observational Studies
This book introduction to statistical inference in observational studies and a detailed discussion of the principles that ...
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Differential Undercounts in the U.S. Census
This book describes the differences in US census coverage, also referred to as “differential undercount”, by showing ...
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Fading Foundations
This book addresses the age-old problem of infinite regresses in epistemology. How can we ever come to know something if ...
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Forecasting and Assessing Risk of Individual Electricity Peaks
The overarching aim of this open access book is to present self-contained theory and algorithms for investigation and prediction ...
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Heavy-Tailed Time Series
This book aims to present a comprehensive, self-contained, and concise overview of extreme value theory for time series, ...
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Le raisonnement bayésien : Modélisation et inférence = Bayesian reasoning: Modeling and inference
This book describes in detail the practice of the Bayesian statistical approach using many examples chosen for their educational ...
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Linear and Generalized Linear Mixed Models and Their Applications
This book covers two major classes of mixed effects models—linear mixed models and generalized linear mixed models—and ...
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Long Memory in Economics
When applying the statistical theory of long range dependent (LRD) processes to economics, the strong complexity of macroeconomic ...
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Mathematical Statistics: Exercises and Solutions
This book consists of four hundred exercises in mathematical statistics and their solutions,this solutions to train students ...
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Modern Mathematical Statistics with Applications
This book tries to strike a balance between mathematical foundations and statistical practice. The book provides a clear ...
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Modélisation et statistique spatiales = Spatial modeling and statistics
Spatial statistics are undergoing significant development due to their use in many fields: earth sciences, environment and ...
اقرأ المزيدPandemics : Insurance and Social Protection
Starting by considering the impulse given by COVID-19 to the insurance industry and to actuarial research, the text covers ...
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Premiers pas en simulation = First steps in simulation
Why simulation techniques? Simulation methods, designed for use in statistics and operations research, have experienced and ...
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Premiers pas en statistique
This book introduces the fundamental concepts of statistical theory and describes the methods most often used in practice. ...
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Premiers pas en statistique
This book introduces the fundamental concepts of statistical theory and describes the methods most often used in practice. ...
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