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Raghunath Arnab
Indirect Methods of Data Collection and Analysis from Surveys

Indian Statistical Institute Series

This book provides a chronological, comprehensive, and up-to-date review of indirect methods of data collection from the human population such as randomized response, non-randomized response, item count, …

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Mathematical Theory and Simulation of Scientific Problems

This book contains select chapters of proceedings presented at the 6th International Conference on Frontiers in Industrial and Applied Mathematics (FIAM-2023), held at the Birla Institute of Technology an…

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Naohito Chino
Structure and Dynamics of Asymmetric Interactions

This book integrates the fundamentals of asymmetric multidimensional scaling, spectral graph theory, graph embedding theory, and various dynamical systems theories, that deal with the static and dynamic a…

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Quantitative Frontiers

Industrial and Applied Mathematics

This book contains select chapters presented at the 17^th^& 18th International Conference of the Institute of Mathematics, Bioinformatics, Information Technology and Computer Science (IMBIC) on Mathem…

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Kenneth Lange
Applied Probability

Springer Texts in Statistics

Applied Probability presents a unique blend of theory and applications, with special emphasis on mathematical modeling, computational techniques, and examples from the biological sciences. Chapter 1 revie…

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Malik Beshir Malik
An Introduction to Statistical Analysis - With some SAS procedures

This book is directed towards graduate students to introduce them to statistical thinking and act as a basis for their statistical research methodology. It takes the reader from the foundations of statist…

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S. P. Mukherjee, Asok K. Nanda
Probability Models in Reliability Analysis

University Texts in the Mathematical Sciences

This book delves into the fundamental theoretical aspects of reliability analysis, focusing on various probabilistic models. These models are essential for representing random variations in underlying var…

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Erhard Cramer, Johanna Ne¿lehová
Vorkurs Mathematik

EMIL@A-stat

Sie suchen zum Studienstart Unterstützung beim Auffrischen der notwendigen mathematischen Grundlagen und möchten vorhandene Lücken im Vorwissen schließen?Dann hilft Ihnen dieses Arbeitsbuch mit einer präz…

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Allen B. Downey
Probably Overthinking It

An essential guide to the ways data can improve decision making.Statistics are everywhere: in news reports, at the doctor's office, and in every sort of forecast, from the stock market to the weather. Blo…

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M. Ataharul Islam, Soma Chowdhury Biswas
Generalized Linear Models and Extensions

This book presents a wide range of topics to address the needs of several groups of users of rapidly growing methods of generalized linear models. Since the introduction of the idea of generalized linear …

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Emerging Trends in Decision Support: Methodology, Algorithms and Applications

This book includes the peer-reviewed proceedings of the Sixth Edition of the International Colloquium MOAD24 which was held at Mouloud Mammeri University of Tizi-Ouzou, Algeria, Oct 20-22, 2024. It consis…

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Computational Mathematics and Modelling for Diabetes

Industrial and Applied Mathematics

This book is a theoretical and pragmatic tool that applies mathematical modelling in understanding and managing diabetes and related complications such as diabetes predisposition, diabetes onset, regular …

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Masafumi Akahira
Theory of Statistical Estimation

This book is a reconstruction of Masafumi Akahira's works on statistical estimation and its related fields, especially higher order asymptotics and non-regular cases with consideration based on informatio…

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James Burridge, Nick Tosh
Inference in Statistical Modelling and Machine Learning

Statistical modelling and machine learning offer a vast toolbox of inference methods with which to model the world, discover patterns and reach beyond the data to make predictions when the truth is not ce…

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Roman Vershynin
High-Dimensional Probability

'High-Dimensional Probability,' winner of the 2019 PROSE Award in Mathematics, offers an accessible and friendly introduction to key probabilistic methods for mathematical data scientists. Streamlined and…

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Directional and Multivariate Statistics

This book contains select chapters on a range of topics in directional statistics, multivariate statistical inference, financial statistics, statistical machine learning and reliability inference. At the …

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Isabella Verdinelli, Larry Wasserman
All of Regression

This comprehensive modern look at regression covers a wide range of topics and relevant contemporary applications, going well beyond the topics covered in most introductory books. With concision and clari…

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Wei Cai
Deterministic, Stochastic, and Deep Learning Methods for Computational Electromagnetics

This book provides a well-balanced and comprehensive picture based on clear physics, solid mathematical formulation, and state-of-the-art useful numerical methods in deterministic, stochastic, deep neural…

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Nobuhiro Taneichi, Yuri Sekiya
Improving Tests for Discrete Small Sample Data

SpringerBriefs in Statistics

This book provides a guide for improving test statistics that are based on phi-divergence for discrete models, which include various kinds of independence models of contingency tables as well as generaliz…

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Takeaki Kariya, Yoshiro Yamamura
Empirically Effective Government and Corporate Bond Pricing Models

This book presents a comprehensive, innovative, integrated, and empirically effective system for cross-sectionally analyzing prices of government bonds (GBs) and corporate bonds (CBs) to timely obtain pra…

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