Probability and statistics

ROBERT F.

This book describes a large number of open problems in the theory of stochastic neural systems, with the aim of enticing probabilists to work on them.

Despite the unobserved components model (UCM) having many advantages over more popular forecasting techniques based on regression analysis, exponential smoothing, and ARIMA, the UCM is not well known among practitioners outside the academic community.

This monograph deals primarily with the prediction of vector valued stochastic processes that are either weakly stationary, or have weakly stationary increments, from finite segments of their past.

Inverse problems of identifying parameters and initial/boundary conditions in deterministic and stochastic partial differential equations constitute a vibrant and emerging research area that has found numerous applications.

 This book is an updated edition of Modeling Binary Correlated Responses Using SAS, SPSS and R, and now it includes the use of STATA.

The subject of this book is probabilistic number theory.

This book presents the state of the art of biostatistical methods and their applications in clinical oncology.

This book describes procedures for determining the total hydrocarbon (petroleum) resource or resource potential in a region.

Providing a much-needed bridge between elementary statistics courses and advanced research methods courses, Understanding Advanced Statistical Methods helps students grasp the fundamental assumptions and machinery behind sophisticated statistical topics, such as logistic regression, maximum likelihood, bootstrapping, nonparametrics, and Bayesian me

The spectral geometry of infinite graphs deals with three major themes and their interplay: the spectral theory of the Laplacian, the geometry of the underlying graph, and the heat flow with its probabilistic aspects.

IBM (international business machines) has published in its SPSS statistical software 2022 update a very important novel regression method entitled Kernel Ridge Regression (KRR).

Now in its 6th edition, the authoritative textbook Applied Multivariate Statistics for the Social Sciences, continues to provide advanced students with a practical and conceptual understanding of statistical procedures through examples and data-sets from actual research studies.

Spatial predictive modeling (SPM) is an emerging discipline in applied sciences, playing a key role in the generation of spatial predictions in various disciplines.

Applied Time Series Analysis contains the proceedings of the First Applied Time Series Symposium held in Tulsa, Oklahoma, on May 14-15, 1976.

Mathematics is playing an ever more important role in the physical and biological sciences, provoking a blurring of boundaries between scientific disciplines and a resurgence of interest in the modern as well as the clas- sical techniques of applied mathematics.

This book of peer-reviewed short papers on methodological and applied statistics and demography is the first of four volumes from the 52nd Scientific Meeting of the Italian Statistical Society (SIS 2024), held in Bari, Italy, on June 17-20, 2024.

Multivariate Statistical Methods: A Primer provides an introductory overview of multivariate methods without getting too deep into the mathematical details.

Completely updated, this new edition uniquely explains how to assess and handle technical risk, schedule risk, and cost risk efficiently and effectively for complex systems that include Artificial Intelligence, Machine Learning, and Deep Learning.

A self-contained examination of all aspects of statistical evidence evaluation in forensic science, from theory to concrete applications.

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

Bioinformatics brings computational methods to the analysis and processing of genomic data.

Presents recent progress in two-dimensional mathematical hydrodynamics, including rigorous results on turbulence in space-periodic fluid flows.

Methods of kernel estimates represent one of the most effective nonparametric smoothing techniques.

This comprehensive text covers the use of SAS for epidemiology and public health research.

Twisted Logic: Puzzles, Paradoxes, and Big Questions delves into the intriguing world of twisted logic, where everyday conundrums, bewildering paradoxes, and life's big questions are investigated and decoded.

The latest tools and techniques for pricing and risk managementThis book introduces readers to the use of copula functions to represent the dynamics of financial assets and risk factors, integrated temporal and cross-section applications.

Dieses Studienbuch Ökonometrie soll den Studierenden der Ökonometrie die Möglichkeit geben, ihre Kenntnisse durch die Bearbeitung konkreter Problemstellungen zu vervollkommnen, zu erweitern und zu vertiefen.

Building upon the previous editions, this textbook is a first course in stochastic processes taken by undergraduate and graduate students (MS and PhD students from math, statistics, economics, computer science, engineering, and finance departments) who have had a course in probability theory.

Differential geometry provides an aesthetically appealing and oftenrevealing view of statistical inference.

Provides an in-depth treatment of ANOVA and ANCOVA techniques from a linear model perspective ANOVA and ANCOVA: A GLM Approach provides a contemporary look at the general linear model (GLM) approach to the analysis of variance (ANOVA) of one- and two-factor psychological experiments.

WHAT ARE THE ODDS YOU'LL WIN THE LOTTERY?

Simulation is a widely used methodology in all the Applied Science disciplines.

This is one of two volumes that sets forth invited papers presented at the International Indian Statistical Association Conference.

Equivalence: Elizabeth L.

This book is devoted to stochastic Navier-Stokes equations and more generally to stochasticity in fluid mechanics.

Mathematics of Keno and Lotteries is an elementary treatment of the mathematics, primarily probability and simple combinatorics, involved in lotteries and keno.

This book constitutes the proceedings of the 13th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2024, which took place in Naples, Italy, in August 2024.

A New Approach to Sound Statistical ReasoningInferential Models: Reasoning with Uncertainty introduces the authors' recently developed approach to inference: the inferential model (IM) framework.

This monograph discusses statistics and risk estimates applied to radiation damage under the presence of measurement errors.

Lucidly Integrates Current ActivitiesFocusing on both fundamentals and recent advances, Introduction to Machine Learning and Bioinformatics presents an informative and accessible account of the ways in which these two increasingly intertwined areas relate to each other.

A much-needed introduction to the field of discrete-valued time series, with a focus on count-data time series Time series analysis is an essential tool in a wide array of fields, including business, economics, computer science, epidemiology, finance, manufacturing and meteorology, to name just a few.

As a result of researchers' and scientists' increasing interest in pure as well as applied mathematics in non-conventional models, particularly those using fractional calculus, Mittag-Leffler functions have recently caught the interest of the scientific community.

1 More than thirty years after its discovery by Abraham Robinson , the ideas and techniques of Nonstandard Analysis (NSA) are being applied across the whole mathematical spectrum,as well as constituting an im- portant field of research in their own right.

Computational Methods for Numerical Analysis with R is an overview of traditional numerical analysis topics presented using R.

This book will provide an overview of basic epigenetic phenomena; interaction between epigenetic and genetic factors; and the influence of epigenetic factors on inheritance.

This book presents selected peer-reviewed contributions from the International Work-Conference on Time Series, ITISE 2017, held in Granada, Spain, September 18-20, 2017.