Wahrscheinlichkeiten – Bücher, CDs, LPs und mehr, Seite 6

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Iickho Song, Seungwon Lee, Wenyi Zhang, So Ryoung Park
Fundamentals of Order and Rank Statistics

This book is devoted to the fundamentals of order and rank statistics. Primarily focusing on theoretical properties, it also discusses practical aspects, including interesting applications of step and imp…

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Song Il Ri, Gyong Jin Jo, Song Myong Guan
Theory of Series

In analysis, series occupies a special place and is used in many fields not only in analytical science but also in various subjects of mathematics, including differential equations, computational mathemat…

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Bjørn Riis

A Storm Is Coming

Bereit für die wirklich tiefgehenden Momente? Bjørn Riis schenkt der Welt mit seinem dritten Soloalbum A Storm Is Coming ein Stück Musik, mit dem er bei den Berufsmelancholikern offene Türen einrennen dür…

Olle Haggstrom, Haggstrom Olle, Olle H. Ggstr M.
Finite Markov Chains and Algorithmic Applications

The author develops the necessary background in probability theory and Markov chains then discusses important computing applications.

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Bernd-Jürgen Falkowski
KI, Statistik und Anwendungen

Der Leser soll mit elementaren Hilfsmitteln (Schulmathematik) Verständnis für die Zusammenhänge zwischen KI und Statistik erlangen. Dabei soll u.a. auf das sonst oft übliche "Knöpfchendrücken" v…

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Statistics for Innovation IV

Preface.- Contributed Sessions 3.

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Mathematical Methods for Engineering Applications

These proceedings gather selected, peer-reviewed papers presented at the IV International Conference on Mathematics and its Applications in Science and Engineering - ICMASE 2023, held on July 12-14, 2023 …

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Methodological and Applied Statistics and Demography IV

This book of peer-reviewed short papers on methodological and applied statistics and demography is the fourth of four volumes from the 52nd Scientific Meeting of the Italian Statistical Society (SIS 2024)…

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Gernot Wassmer, Werner Brannath
Group Sequential and Confirmatory Adaptive Designs in Clinical Trials

This book provides an up-to-date review of the general principles and techniques of confirmatory adaptive designs, a generalization of group sequential designs. With these designs, interim analyses are pe…

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Inverse Problems: Modelling and Simulation

This volume presents the latest theoretical and experimental advancements in the field of inverse problems in recent years. It includes outstanding research results that reflect current theoretical and nu…

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Mike Nguyen
Advanced Modeling and Data Challenges

Missing data. - Variable transformation. - Variable selection. - Hypothesis testing.- Marginal effects. - Mediation.

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Jos W. R. Twisk
Basic Principles of Applied Medical Statistics

This book describes the basic principles of medical statistics. Although there are many texts on this topic, this one is different in that it limits the mathematics to an absolute minimum. It will therefo…

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Cynthia Fraser
Business Statistics for Competitive Advantage with Excel and JMP

This book is the latest title of the popular Excel textbook; redesigned, while including interactive, user-friendly JMP to encourage business students to develop competitive advantages for use in their fu…

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Alain Franc
Linear Dimensionality Reduction

Introduction.- 2. Principal Component Analysis (PCA).- 3. Complements on PCA.- 4. PCA with Metrics on Rows and Columns.- 5. Correspondence Analysis.- 6. PCA with Instrumental Variables.- 7. Canonical Corr…

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Applications of Computational Intelligence in Management and Mathematics I

This volume encapsulates the collective knowledge shared and innovations presented at the 9th International Conference on Computers, Management & Mathematical Sciences (ICCM) 2023 held on the 24th and…

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Data Science, Classification, and Artificial Intelligence for Modeling Decision Making

This book gathers selected and peer-reviewed contributions presented at the 18th Conference of the International Federation of Classification Societies (IFCS 2024), held in San José, Costa Rica, July 15--…

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Dany Cajas
Advanced Portfolio Optimization

This book is an innovative and comprehensive guide that provides readers with the knowledge about the latest trends, models and algorithms used to build investment portfolios and the practical skills nece…

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Tsung-Wu Ho
Time Series Forecasting using Machine Learning

Preface.- Chapter 1 Time Series Basics in R.- Chapter 2 Predictive Time Series Modelling.- Chapter 3 Forecasting using Machine Learning Methods.- Chapter 4 Special Topics.- Chapter 5 Predictive Case Studi…

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Statistics for Innovation III

Preface.- Contributed Sessions 2.

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Daniel Sorensen
Statistical Learning in Genetics

Overview.- Part I: Fitting Likelihood and Bayesian Models.- 2. Likelihood.- 3. Computing the Likelihood.- 4. Bayesian Methods.- 5. McMC in Practice.- Part II: Prediction.- 6. Fundamentals of Prediction.- …

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