The weekly lottery numbers were drawn: 25 – 40 – 41 – 52 – 56.
Have you ever wondered why 25?
Have you ever wondered why not 39?
Have you ever wondered why didn't you choose 41?
Have you ever wonder……続きを見る
These Lecture Notes provide an introduction to the study of those discrete surfaces which are obtained by randomly gluing polygons along their sides in a plane. The focus is on the geometry of such ……続きを見る
This book is devoted to the study of multivariate discrete q-distributions, which is greatly facilitated by existing multivariate q-sequences and q-functions. Classical multivariate discrete distrib……続きを見る
This book offers a comprehensive examination of the Cramér–Lundberg model, which is the most extensively researched model in ruin theory. It covers the fundamental dynamics of an insurance company's……続きを見る
出版社: Springer International Publishing
発売日: 2024年01月06日
This book hosts the results presented at the 6th Bayesian Young Statisticians Meeting 2022 in Montréal, Canada, held on June 22–23, titled "Bayesian Statistics, New Generations New Approaches". This……続きを見る
This comprehensive book covers a wide variety of methods for estimating the sizes and related parameters of closed populations. With the effect of climate change, and human territory invasion, we ha……続きを見る
The aim of this book is to provide the reader with a critical guide to AHP. In this book, the AHP method is considered primarily as a mathematical technique supporting the decision-making process. T……続きを見る
著者:Ovidiu Calin
出版社: World Scientific Publishing Company
発売日: 2023年11月21日
This book is a comprehensive exploration of the interplay between Stochastic Analysis, Geometry, and Partial Differential Equations (PDEs). It aims to investigate the influence of geometry on diffus……続きを見る
著者:Stefan Tappe
出版社: Springer Berlin Heidelberg
発売日: 2024年01月29日
Dieses essential bietet eine prägnante und gute verständliche Einführung in die Theorie der stochastischen partiellen Differentialgleichungen. Wir werden die dafür benötigten mathematischen Hilfsmit……続きを見る
The stochastic Maxwell equations play an essential role in many fields, including fluctuational electrodynamics, statistical radiophysics, integrated circuits, and stochastic inverse problems.
This ……続きを見る
Build an understanding of XGBoost and gain hands-on experience with the XGBoost Python API through multiple practical use cases for classification, Regression and Time series analysis including mode……続きを見る
This book is an easy-to-understand guide to modeling productivity and efficiency using modern statistical tools. It introduces readers to the fundamentals of stochastic frontier analysis (SFA) and g……続きを見る
This book offers the reader a journey through the counterintuitive nature of Brownian motion under confinement. Diffusion is a universal phenomenon that controls a wide range of physical, chemical, ……続きを見る
This volume is a valuable source of recent knowledge about advanced time series forecasting techniques such as artificial neural networks, fuzzy time series, or hybrid approaches. New forecasting fr……続きを見る
著者:Vivek S. Borkar
出版社: Springer Nature Singapore
発売日: 2024年02月01日
This book serves as an advanced text for a graduate course on stochastic algorithms for the students of probability and statistics, engineering, economics and machine learning. This second edition g……続きを見る
This book provides a captivating journey through the realms of classical and quantum systems as it unravels the profound influence that noise may have on their static and dynamic properties. The fir……続きを見る
著者:C. Raju
出版社: Penguin Random House India Private Limited
発売日: 2023年08月21日
Data science is a perfect blend of 10 per cent maths, 20 per cent statistics, 30 per cent common sense and 40 per cent applied knowledge. While you can learn maths and statistics, you need to accumu……続きを見る
Mit der Deskriptiven Statistik ist es wie mit dem Fußball – mit Einstellung, Fleiß und Training gelangt man zum Ziel: Deskriptive Statistik als Kompetenz. Dieses Taschenbuch stellt dazu die Grundlag……続きを見る
著者:Kenneth Shum
出版社: Springer International Publishing
発売日: 2024年03月16日
This textbook offers an approachable introduction to measure-theoretic probability, illustrating core concepts with examples from statistics and engineering. The author presents complex concepts in ……続きを見る
In this book, exercises are carried out regarding the following mathematical topics:
estimation theory
hypothesis testing and verification
linear regression
Initial theoretical hints are also presen……続きを見る
著者:Norbert Henze
出版社: Springer Berlin Heidelberg
発売日: 2024年03月17日
Dieses Lehrbuch liefert einen verständnisorientierten Einstieg in die Stochastik und versetzt Sie in die Lage, kompetent „mitreden“ zu können.
Der inhaltliche Umfang deckt den Stoff ab, der in einer……続きを見る
Users of statistics in their professional lives along with statistics students will welcome the CRC Standard Probability and Statistics Tables and Formulae, a concise, easy-to-use reference for basi……続きを見る
This book addresses the interplay between stochastic processes and partial differential equations. More specifically, it focuses on the connection between the nonlinear p-Laplace equation and the st……続きを見る
Suitable for statisticians, mathematicians, actuaries, and students interested in the problems of insurance and analysis of lifetimes, Statistical Methods with Applications to Demography and Life In……続きを見る
One of the main issues in communications theory is measuring the ultimate data compression possible using the concept of entropy. While differential entropy may seem to be a simple extension of the ……続きを見る
Based on the authors' lecture notes, this text presents concise yet complete coverage of statistical inference theory, focusing on the fundamental classical principles. Unlike related textbooks, it ……続きを見る
How do you teach computers to learn from data?
This hands-on introduction teaches the basics of machine learning with R, H2O and Keras using numerous examples. You will be able to select the appropr……続きを見る
Large numbers of studies of the KdV equation have appeared since the pioneering paper by Gardner, Greene, Kruskal, and Miura in 1967. Most of those works have employed the inverse spectral method fo……続きを見る
Questo libro offre un approccio moderno alla teoria dei processi stocastici in tempo continuo e del calcolo differenziale stocastico. I contenuti vengono trattati in modo rigoroso, completo e autono……続きを見る
Modern Data Visualization with R describes the many ways that raw and summary data can be turned into visualizations that convey meaningful insights. It starts with basic graphs such as bar charts, ……続きを見る