Probability Models 電子書籍著者： Arni S.R. Srinivasa Rao - EPUB

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言語　English
商品番号：9780443293290
発売日　2024年10月24日
出版社：Academic Press

ファイル形式　EPUB3
サイズ　12.15 MB
ダウンロードオプション:EPUB3 (Adobe DRM)

シリーズの内容

Multidimensional Signal Processing

Arni S.R. Srinivasa Rao,Kumar Vijay Mishra,Gonzalo R. Arce

Neural Networks

Arni S.R. Srinivasa Rao

Disease Modelling and Public Health, Part A

Arni S.R. Srinivasa Rao,Saumyadipta Pyne,C.R. Rao

Disease Modelling and Public Health, Part B

Arni S.R. Srinivasa Rao,Saumyadipta Pyne,C.R. Rao

Integrated Population Biology and Modeling, Part A

Arni S.R. Srinivasa Rao,C.R. Rao

Integrated Population Biology and Modeling Part B

Arni S.R. Srinivasa Rao,C.R. Rao

Principles and Methods for Data Science

Arni S.R. Srinivasa Rao,C.R. Rao

Information Geometry

Arni S.R. Srinivasa Rao,C.R. Rao,Angelo Plastino

Deep Learning

Arni S.R. Srinivasa Rao,Venu Govindaraju,C.R. Rao

Artificial Intelligence

Arni S.R. Srinivasa Rao,C.R. Rao,Steven Krantz

Modeling and Analysis of Longitudinal Data

Arni S.R. Srinivasa Rao,Donald E.K. Martin,C.R. Rao

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Forging Connections between Computational Mathematics and Computational Geometry

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Principles of Data Assimilation

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Approximation Methods for Polynomial Optimization

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The Skew-Normal and Related Families

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Optimization in Science and Engineering

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Computational Methods for Modeling of Nonlinear Systems by Anatoli Torokhti and Phil Howlett

Anatoli Torokhti, Phil Howlett

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Optimization and Optimal Control

Altannar Chinchuluun, Panos M. Pardalos, Rentsen Enkhbat, Ider Tseveendorj

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Mathematical Analysis and Numerical Methods

Aliaa Burqan, Rania Saadeh, Ahmad Qazza, Osama Yusuf Ababneh, Juan C. Cortés, Kai Diethelm, Dia Zeidan

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Statistical Inference for Fractional Diffusion Processes

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Braverman Readings in Machine Learning. Key Ideas from Inception to Current State

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Yan Liu, Junichi Hirukawa, Yoshihide Kakizawa

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その他の著書

Sample Surveys: Inference and Analysis

Danny Pfeffermann, C.R. Rao

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Time Series Analysis: Methods and Applications

Tata Subba Rao, Suhasini Subba Rao, C.R. Rao

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Data Mining and Data Visualization

C.R. Rao

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Data Gathering, Analysis and Protection of Privacy Through Randomized Response Techniques: Qualitative and Quantitative Human Traits

Arijit Chaudhuri, Tasos C. Christofides, C.R. Rao

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Spectral Theory Of Large Dimensional Random Matrices And Its Applications To Wireless Communications And Finance Statistics: Random Matrix Theory And Its Applications

Zhidong Bai, Zhaoben Fang, Ying-chang Liang

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Bioinformatics in Human Health and Heredity

C.R. Rao, Ranajit Chakraborty, Pranab K. Sen

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Computational Statistics with R

C.R. Rao, Marepalli B. Rao

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Artificial Intelligence

Arni S.R. Srinivasa Rao, C.R. Rao, Steven Krantz

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Modeling and Analysis of Longitudinal Data

Arni S.R. Srinivasa Rao, Donald E.K. Martin, C.R. Rao

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Integrated Population Biology and Modeling Part B

Arni S.R. Srinivasa Rao, C.R. Rao

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Advancements in Bayesian Methods and Implementations

Alastair G Young, Arni S.R. Srinivasa Rao, C.R. Rao

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Machine Learning: Theory and Applications

C.R. Rao, Venu Govindaraju

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Conceptual Econometrics Using R

C.R. Rao, Hrishikesh D. Vinod

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Data Science: Theory and Applications

C.R. Rao, Arni S.R. Srinivasa Rao

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Disease Modelling and Public Health, Part A

Arni S.R. Srinivasa Rao, Saumyadipta Pyne, C.R. Rao

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Statistics in Industry and Government

Ravindra Khattree, Hon Yiu So, Arni S.R. Srinivasa Rao

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Markov Chains: Theory and Applications

C.R. Rao, Arni S.R. Srinivasa Rao

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Disease Modelling and Public Health, Part B

Arni S.R. Srinivasa Rao, Saumyadipta Pyne, C.R. Rao

26,434 円

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Probability Models

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シリーズの内容

Multidimensional Signal Processing

Neural Networks

Disease Modelling and Public Health, Part A

Disease Modelling and Public Health, Part B

Integrated Population Biology and Modeling, Part A

Integrated Population Biology and Modeling Part B

Principles and Methods for Data Science

Information Geometry

Deep Learning

Artificial Intelligence

Modeling and Analysis of Longitudinal Data

関連書籍

Information Geometry and Its Applications

Monte-Carlo Methods and Stochastic Processes

Quantifying Life

Artificial Intelligence and Causal Inference

Matrix Information Geometry

Forging Connections between Computational Mathematics and Computational Geometry

Principles of Data Assimilation

Approximation Methods for Polynomial Optimization

The Skew-Normal and Related Families

Optimization in Science and Engineering

Computational Methods for Modeling of Nonlinear Systems by Anatoli Torokhti and Phil Howlett

Optimization and Optimal Control

Mathematical Analysis and Numerical Methods

Statistical Inference for Fractional Diffusion Processes

Braverman Readings in Machine Learning. Key Ideas from Inception to Current State

Scaling, Fractals and Wavelets

Minimum Divergence Methods in Statistical Machine Learning

Research Papers in Statistical Inference for Time Series and Related Models

その他の著書

Sample Surveys: Inference and Analysis

Time Series Analysis: Methods and Applications

Data Mining and Data Visualization

Data Gathering, Analysis and Protection of Privacy Through Randomized Response Techniques: Qualitative and Quantitative Human Traits

Spectral Theory Of Large Dimensional Random Matrices And Its Applications To Wireless Communications And Finance Statistics: Random Matrix Theory And Its Applications

Bioinformatics in Human Health and Heredity

Computational Statistics with R

Artificial Intelligence

Modeling and Analysis of Longitudinal Data

Integrated Population Biology and Modeling Part B

Advancements in Bayesian Methods and Implementations

Machine Learning: Theory and Applications

Conceptual Econometrics Using R

Data Science: Theory and Applications

Disease Modelling and Public Health, Part A

Statistics in Industry and Government

Markov Chains: Theory and Applications

Disease Modelling and Public Health, Part B

お楽しみいただけましたか？

電子書籍

楽天Koboで読む理由

関連書籍

Information Geometry and Its Applications

Monte-Carlo Methods and Stochastic Processes

Quantifying Life

Artificial Intelligence and Causal Inference

Matrix Information Geometry

Forging Connections between Computational Mathematics and Computational Geometry

Principles of Data Assimilation

Approximation Methods for Polynomial Optimization

The Skew-Normal and Related Families

Optimization in Science and Engineering

Computational Methods for Modeling of Nonlinear Systems by Anatoli Torokhti and Phil Howlett

Optimization and Optimal Control

Mathematical Analysis and Numerical Methods

Statistical Inference for Fractional Diffusion Processes

Braverman Readings in Machine Learning. Key Ideas from Inception to Current State

Scaling, Fractals and Wavelets

Minimum Divergence Methods in Statistical Machine Learning

Research Papers in Statistical Inference for Time Series and Related Models