Probability and statistics

This compilation focuses on the theory and conceptualisation of statistics and probability in the early years and the development of young children's (ages 3-10) understanding of data and chance.

This book explains and explores the growth curve model as a tool to gain insights into various research topics of interest to academics and practitioners alike.

This book provides essential insights into a range of newly developed numerical optimization techniques with a view to solving real-world problems.

This book covers all aspects of statistical methods in detail with applications.

This book presents an overview of copula theory and its application in hydrology, and provides valuable insights, useful methods and practical applications for multivariate hydrological analysis using copulas.

The purpose of this book is to thoroughly prepare the reader for applied research in clustering.

This book presents the basic concepts of functional analysis, wavelet analysis and thresholding.

This book gathers selected theoretical and applied science papers presented at the 2016 Regional Conference of Sciences, Technology and Social Sciences (RCSTSS 2016), organized biannually by the Universiti Teknologi MARA Pahang, Malaysia.

This BASS book Series publishes selected high-quality papers reflecting recent advances in the design and biostatistical analysis of biopharmaceutical experiments - particularly biopharmaceutical clinical trials.

This volume comprises the author's account of the development of novel results in random walk theory and its applications during the fractal and chaos revolutions.

Chance rules our daily lives in many different ways.

The book presents, for the first time, a detailed analysis of harmonizable processes and fields (in the weak sense) that contain the corresponding stationary theory as a subclass.

This is the first book which the universal approach to strong laws of probability is discussed in.

This is a development of the book entitled Multidimensional Second Order Stochastic Processes.

The approximation and the estimation of nonparametric functions by projections on an orthonormal basis of functions are useful in data analysis.

Interacting particle systems are Markov processes involving infinitely many interacting components.

This book sheds new light on stochastic calculus, the branch of mathematics that is most widely applied in financial engineering and mathematical finance.

This book focuses on the application of statistical methods in the field of hydrology and hydroclimatology.

This uniquely accessible book helps readers use CABology to solve real-world business problems and drive real competitive advantage.

This book offers a comprehensive guide to essential techniques and methods in biostatistics, addressing the underlying concepts to aid in comprehension.

This book presents the proceedings of the 2nd Pacific Rim Statistical Conference for Production Engineering: Production Engineering, Big Data and Statistics, which took place at Seoul National University in Seoul, Korea in December, 2016.

The book provides a study of the investment environment for international enterprises in China and overseas investment by Chinese enterprises.

This BASS book Series publishes selected high-quality papers reflecting recent advances in the design and biostatistical analysis of biopharmaceutical experiments - particularly biopharmaceutical clinical trials.

This BASS book Series publishes selected high-quality papers reflecting recent advances in the design and biostatistical analysis of biopharmaceutical experiments - particularly biopharmaceutical clinical trials.

This BASS book Series publishes selected high-quality papers reflecting recent advances in the design and biostatistical analysis of biopharmaceutical experiments - particularly biopharmaceutical clinical trials.

Ensemble methods that train multiple learners and then combine them to use, with Boosting and Bagging as representatives, are well-known machine learning approaches.

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.

This book eases the task of converting research work into a manuscript, and covers the recent developments in publishing that often stump budding researchers.

This book provides practical applications of doubly classified models by using R syntax to generate the models.

This book provides a short and concise introduction to Bayesian optimization specifically for experimental and computational materials scientists.

This book proposes complex hierarchical deep architectures (HDA) for predicting bankruptcy, a topical issue for business and corporate institutions that in the past has been tackled using statistical, market-based and machine-intelligence prediction models.

This book is intended to make recent results on the derivation of higher order numerical schemes for random ordinary differential equations (RODEs) available to a broader readership, and to familiarize readers with RODEs themselves as well as the closely associated theory of random dynamical systems.

This book presents a smooth and unified transitional framework from generalised fractional programming, with a finite number of variables and a finite number of constraints, to semi-infinite fractional programming, where a number of variables are finite but with infinite constraints.

This book assesses various intelligent-city evaluation systems around the globe, and subsequently combines that assessment with local-government and enterprise practices to create an evaluation index system for quantifying the Intelligent City concept.

The book includes articles from eminent international scientists discussing a wide spectrum of topics of current importance in mathematics and statistics and their applications.

In recent years, deep learning has fundamentally changed the landscapes of a number of areas in artificial intelligence, including speech, vision, natural language, robotics, and game playing.

This book focuses on the statistical aspects of the analysis of degradation data.

This book is devoted to biased sampling problems (also called choice-based sampling in Econometrics parlance) and over-identified parameter estimation problems.

This book focuses on how to appropriately plan and develop a Phase II program, and how to design Phase II clinical trials and analyze their data.

This book presents a broad range of statistical techniques to address emerging needs in the field of repeated measures.

This book is designed as a concise introduction to the recent achievements on spectral analysis of graphs or networks from the point of view of quantum (or non-commutative) probability theory.

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.

This book is a valuable read for a diverse group of researchers and practitioners who analyze assessment data and construct test instruments.

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.

This book not only provides a comprehensive introduction to neural-based PCA methods in control science, but also presents many novel PCA algorithms and their extensions and generalizations, e.

This book gathers invited presentations from the 2nd Symposium of the ICSA- CANADA Chapter held at the University of Calgary from August 4-6, 2015.

This book presents tutorial overviews for many applications of variational methods to molecular modeling.

This book enables readers who may not be familiar with matrices to understand a variety of multivariate analysis procedures in matrix forms.

This is the first book to compare eight LDFs by different types of datasets, such as Fisher's iris data, medical data with collinearities, Swiss banknote data that is a linearly separable data (LSD), student pass/fail determination using student attributes, 18 pass/fail determinations using exam scores, Japanese automobile data, and six microarray datasets (the datasets) that are LSD.

This book deals with statistics in medicine in a simple way.