Probability and statistics

Brain, Decision Making, and Mental Health acknowledges that thinking is not a constant phenomenon but varies considerably across cultures.

This advanced textbook for business statistics teaches, statistical analyses and research methods utilizing business case studies and financial data, with the applications of Excel VBA, Python and R.

This book describes official statistics as a tool to hold up a mirror to society - but also as an instrument for those who can manipulate this mirror.

This book organizes principles and methods of signal processing and machine learning into the framework of coherence.

This concise, easy-to-read pocket guide offers medical trainees, researchers, and clinicians at every level the perfect resource on Evidence Based Medicine (EBM).

This book constitutes the refereed proceedings of the 17th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2022, held in Cartagena de Indias, Colombia, in November 2022.

This book teaches foundations of epidemiological design and statistical methods, as well as including topics applicable to new areas of research.

This book presents advances in business computing and data analytics by discussing recent and innovative machine learning methods that have been designed to support decision-making processes.

This book provides a contemporary treatment of the problems related to anomalous diffusion and anomalous relaxation.

This book is about conformal prediction, an approach to prediction that originated in machine learning in the late 1990s.

This book focuses on analysing the applications of the Shannon Measure of Information (SMI).

Bei allen Erkenntnissen, die im COVID-Prozess erfahren wurden, bleibt eine wesentliche erhalten: "Das Virus bleibt ein ständiger Begleiter".

This book provides expository derivations for moments of a family of pseudo distributions, which is an extended family of distributions including the pseudo normal (PN) distributions recently proposed by the author.

This book explores the molecular mechanisms of iron hemostasis in the brain and discusses the cognitive and behavioral implications of iron deficiency.

Developed from the authors' graduate-level biostatistics course, Applied Categorical and Count Data Analysis, Second Edition explains how to perform the statistical analysis of discrete data, including categorical and count outcomes.

Census data is widely used by practitioners to understand demographic change, allocate resources, address inequalities, and make sound business decisions.

Census data is widely used by practitioners to understand demographic change, allocate resources, address inequalities, and make sound business decisions.

This textbook will continue to be the best suitable textbook written specifically for a first course on probability theory and designed for industrial engineering and operations management students.

This textbook will continue to be the best suitable textbook written specifically for a first course on probability theory and designed for industrial engineering and operations management students.

Psychological Statistics: The Basics walks the reader through the core logic of statistical inference and provides a solid grounding in the techniques necessary to understand modern statistical methods in the psychological and behavioral sciences.

Psychological Statistics: The Basics walks the reader through the core logic of statistical inference and provides a solid grounding in the techniques necessary to understand modern statistical methods in the psychological and behavioral sciences.

This book develops an original theory of decision-making based on the concept of plausibility.

This book develops an original theory of decision-making based on the concept of plausibility.

Without question, statistics is one of the most challenging courses for students in the social and behavioral sciences.

Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision provides an overview of general deep learning methodology and its applications of natural language processing (NLP), speech, and computer vision tasks.

Revealing the limitations of human decision-making, this book explores how Artificial Intelligence (AI) can be used to optimize decisions for improved business outcomes and efficiency, as well as looking ahead to the significant contributions Decision Intelligence (DI) can make to society and the ethical challenges it may raise.

Revealing the limitations of human decision-making, this book explores how Artificial Intelligence (AI) can be used to optimize decisions for improved business outcomes and efficiency, as well as looking ahead to the significant contributions Decision Intelligence (DI) can make to society and the ethical challenges it may raise.

Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision provides an overview of general deep learning methodology and its applications of natural language processing (NLP), speech, and computer vision tasks.

This book is a rigorous but practical presentation of the techniques of uncertainty quantification, with applications in R and Python.

This book discusses the payout phase of the old-age pension saving scheme, the so-called effective premium, and offers detailed actuarial models and analyses of five old-age pension saving products used in practice.

This book provides practical demonstrations of how to carry out definite integrals with Monte Carlo methods using Mathematica.

This book focuses on a span of statistical topics relevant to researchers who seek to conduct person-specific analysis of human data.

Machine learning has redefined the way we work with data and is increasingly becoming an indispensable part of everyday life.

Machine learning has redefined the way we work with data and is increasingly becoming an indispensable part of everyday life.

Based on the syllabus of the actuarial profession courses on general insurance pricing - with additional material inspired by the author's own experience as a practitioner and lecturer - Pricing in General Insurance, Second Edition presents pricing as a formalised process that starts with collecting information about a particular policyholder or risk and ends with a commercially informed rate.

With the aim to better understand nature, mathematical tools are being used nowadays in many different fields.

With the aim to better understand nature, mathematical tools are being used nowadays in many different fields.

This book presents some post-estimation and predictions strategies for the host of useful statistical models with applications in data science.

This book presents some post-estimation and predictions strategies for the host of useful statistical models with applications in data science.

Introduction to Environmental Data Science focuses on data science methods in the R language applied to environmental research, with sections on exploratory data analysis in R including data abstraction, transformation, and visualization; spatial data analysis in vector and raster models; statistics and modelling ranging from exploratory to modelling, considering confirmatory statistics and extending to machine learning models; time series analysis, focusing especially on carbon and micrometeorological flux; and communication.

Introduction to Environmental Data Science focuses on data science methods in the R language applied to environmental research, with sections on exploratory data analysis in R including data abstraction, transformation, and visualization; spatial data analysis in vector and raster models; statistics and modelling ranging from exploratory to modelling, considering confirmatory statistics and extending to machine learning models; time series analysis, focusing especially on carbon and micrometeorological flux; and communication.

This book describes how to establish data science and analytics capabilities in organisations using Emergent Design, an evolutionary approach that increases the chances of successful outcomes while minimising upfront investment.

This book describes how to establish data science and analytics capabilities in organisations using Emergent Design, an evolutionary approach that increases the chances of successful outcomes while minimising upfront investment.

The first half of the book is aimed at quantitative research workers in biology, medicine, ecology and genetics.

This book constitutes the refereed proceedings of the 16th International Conference on Learning and Intelligent Optimization, LION 16, which took place in Milos Island, Greece, in June 2022.

This is the first book of two volumes covering the basics of statistical methods and analysis.

The 49Th Scientific meeting of the Italian Statistical Society was held in June 2018 in Palermo, with more than 450 attendants.

This book discusses the two fundamental elements that underline the science and design of artificial intelligence (AI) systems: the learning and acquisition of knowledge from observational data, and the reasoning of that knowledge together with whatever information is available about the application at hand.