Patterned Random Matrices by Bose Arup (17 results)

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  • Language: English

    Published by Chapman and Hall/CRC, 2020

    036773446X / 9780367734466

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  • Language: English

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    036773446X / 9780367734466

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  • Language: English

    Published by Chapman and Hall/CRC, 2020

    036773446X / 9780367734466

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  • Language: English

    Published by Taylor & Francis Ltd, 2020

    036773446X / 9780367734466

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  • Language: English

    Published by Chapman and Hall/CRC, 2020

    036773446X / 9780367734466

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    Condition: New. 1st edition NO-PA16APR2015-KAP.

  • Language: English

    Published by Chapman and Hall/CRC, 2020

    036773446X / 9780367734466

    • Softcover

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  • Language: English

    Published by Chapman and Hall/CRC, 2020

    036773446X / 9780367734466

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  • Language: English

    Published by Chapman and Hall/CRC, 2020

    036773446X / 9780367734466

    • Softcover

    Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios

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  • Language: English

    Published by Taylor & Francis, 2020

    036773446X / 9780367734466

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    Seller: Revaluation Books, Exeter, United KingdomRevaluation Books

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    Paperback. Condition: Brand New. 291 pages. 9.21x6.14x0.71 inches. In Stock.

  • Language: English

    Published by CRC Press, 2020

    036773446X / 9780367734466

    • Softcover

    Seller: moluna, Greven, Germanymoluna

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    Einband - flex.(Paperback). Condition: New. Arup Bose is a Professor at the Indian Statistical Institute, Kolkata, India. He is a distinguished researcher in Mathematical Statistics and has been working in high-dimensional random matrices for the last fifteen years. He has been th.

  • Language: English

    Published by Taylor & Francis Ltd Dez 2020, 2020

    036773446X / 9780367734466

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    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Taschenbuch. Condition: Neu. Neuware - Large dimensional random matrices (LDRM) with specific patterns arise in econometrics, computer science, mathematics, physics, and statistics. This book provides an easy initiation to LDRM. Through a unified approach, we investigate the existence and properties of the limiting spectral distribution (LSD) of different patterned random matrices as the dimension grows. The main ingredients are the method of moments and normal approximation with rudimentary combinatorics for support. Some elementary results from matrix theory are also used. By stretching the moment arguments, we also have a brush with the intriguing but difficult concepts of joint convergence of sequences of random matrices and its ramifications.…

  • Language: English

    Published by Taylor & Francis Group, 2018

    1138591467 / 9781138591462

    • Hardcover

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  • Language: English

    Published by Taylor & Francis Group, 2018

    1138591467 / 9781138591462

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    Seller: Majestic Books, Hounslow, United KingdomMajestic Books

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  • Language: English

    Published by Taylor & Francis Group, 2018

    1138591467 / 9781138591462

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    Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios

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  • Language: English

    Published by CRC Press, 2018

    1138591467 / 9781138591462

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    Gebunden. Condition: New. Large dimensional random matrices (LDRM) with specific patterns arise in econometrics, computer science, mathematics, physics, and statistics. This book provides an easy initiation to LDRM. Through a unified approach, we investigate the existence and pro.

  • Language: English

    Published by Taylor & Francis Ltd, 2018

    1138591467 / 9781138591462

    • Hardcover

    Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE

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  • Language: English

    Published by Taylor & Francis Ltd Mai 2018, 2018

    1138591467 / 9781138591462

    • Hardcover

    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Buch. Condition: Neu. Neuware - 'This book focuses on the limit spectral distribution (LSD) of patterned random matrices and provides a comprehensive variety of LSD results. It is accessible to first or second years Master's students and uses very elementary techniques. It is suitable for a beginner in random matrices with some probability background'.…