Isbn: 9780387251455 - all of nonparametric statistics (18 risultati)

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  • Lingua: Inglese

    Editore: Springer (edition First Edition), 2005

    0387251456 / 9780387251455

    Serie: Libro 24 di 111 - Springer Texts in Statistics

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    Hardcover. Condizione: Very Good. First Edition. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

  • Lingua: Inglese

    Editore: Springer (edition First Edition), 2005

    0387251456 / 9780387251455

    Serie: Libro 24 di 111 - Springer Texts in Statistics

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    Da: BooksRun, Philadelphia, PA, U.S.A.BooksRun

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    Hardcover. Condizione: New. First Edition. The item is brand new, never used or read. It's in perfect condition and may include supplements and/or access codes or come shrink-wrapped.

  • Lingua: Inglese

    Editore: Springer, 2005

    0387251456 / 9780387251455

    Serie: Libro 24 di 111 - Springer Texts in Statistics

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    Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections

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    Condizione: New. In English.

  • Lingua: Inglese

    Editore: Springer, 2005

    0387251456 / 9780387251455

    Serie: Libro 24 di 111 - Springer Texts in Statistics

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  • Lingua: Inglese

    Editore: Springer, 2005

    0387251456 / 9780387251455

    Serie: Libro 24 di 111 - Springer Texts in Statistics

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  • Lingua: Inglese

    Editore: Springer, 2005

    0387251456 / 9780387251455

    Serie: Libro 24 di 111 - Springer Texts in Statistics

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    Da: California Books, Miami, FL, U.S.A.California Books

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  • Lingua: Inglese

    Editore: Springer-Verlag New York Inc., US, 2005

    0387251456 / 9780387251455

    Serie: Libro 24 di 111 - Springer Texts in Statistics

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    Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA

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    Hardback. Condizione: New. 1st ed. 2005. Corr. 3rd. printing 2007. There are many books on various aspects of nonparametric inference such as density estimation, nonparametric regression, bootstrapping, and wavelets methods. But it is hard to ?nd all these topics covered in one place. The goal of this text is to provide readers with a single book where they can ?nd a brief account of many of the modern topics in nonparametric inference. The book is aimed at master's-level or Ph. D. -level statistics and computer science students. It is also suitable for researchersin statistics, machine lea- ing and data mining who want to get up to speed quickly on modern n- parametric methods. My goal is to quickly acquaint the reader with the basic concepts in many areas rather than tackling any one topic in great detail. In the interest of covering a wide range of topics, while keeping the book short, I have opted to omit most proofs. Bibliographic remarks point the reader to references that contain further details. Of course, I have had to choose topics to include andto omit,the title notwithstanding. For the mostpart,I decided to omit topics that are too big to cover in one chapter. For example, I do not cover classi?cation or nonparametric Bayesian inference. The book developed from my lecture notes for a half-semester (20 hours) course populated mainly by master's-level students. For Ph. D.

  • Lingua: Inglese

    Editore: Springer, 2005

    0387251456 / 9780387251455

    Serie: Libro 24 di 111 - Springer Texts in Statistics

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    Condizione: New. pp. 284.

  • Lingua: Inglese

    Editore: Springer, 2005

    0387251456 / 9780387251455

    Serie: Libro 24 di 111 - Springer Texts in Statistics

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    Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK

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    Condizione: As New. Unread book in perfect condition.

  • Lingua: Inglese

    Editore: Springer, 2007

    0387251456 / 9780387251455

    Serie: Libro 24 di 111 - Springer Texts in Statistics

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    Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books

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    Hardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Lingua: Inglese

    Editore: Springer, 2005

    0387251456 / 9780387251455

    Serie: Libro 24 di 111 - Springer Texts in Statistics

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    Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices

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  • Lingua: Inglese

    Editore: Springer-Verlag New York Inc., US, 2005

    0387251456 / 9780387251455

    Serie: Libro 24 di 111 - Springer Texts in Statistics

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    Hardback. Condizione: New. 1st ed. 2005. Corr. 3rd. printing 2007. There are many books on various aspects of nonparametric inference such as density estimation, nonparametric regression, bootstrapping, and wavelets methods. But it is hard to ?nd all these topics covered in one place. The goal of this text is to provide readers with a single book where they can ?nd a brief account of many of the modern topics in nonparametric inference. The book is aimed at master's-level or Ph. D. -level statistics and computer science students. It is also suitable for researchersin statistics, machine lea- ing and data mining who want to get up to speed quickly on modern n- parametric methods. My goal is to quickly acquaint the reader with the basic concepts in many areas rather than tackling any one topic in great detail. In the interest of covering a wide range of topics, while keeping the book short, I have opted to omit most proofs. Bibliographic remarks point the reader to references that contain further details. Of course, I have had to choose topics to include andto omit,the title notwithstanding. For the mostpart,I decided to omit topics that are too big to cover in one chapter. For example, I do not cover classi?cation or nonparametric Bayesian inference. The book developed from my lecture notes for a half-semester (20 hours) course populated mainly by master's-level students. For Ph. D.

  • Lingua: Inglese

    Editore: Springer, 2005

    0387251456 / 9780387251455

    Serie: Libro 24 di 111 - Springer Texts in Statistics

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    EUR 239,31

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    Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - There are many books on various aspects of nonparametric inference such as density estimation, nonparametric regression, bootstrapping, and wavelets methods. But it is hard to nd all these topics covered in one place. The goal of this text is to provide readers with a single book where they can nd a brief account of many of the modern topics in nonparametric inference. The book is aimed at master's-level or Ph. D. -level statistics and computer science students. It is also suitable for researchersin statistics, machine lea- ing and data mining who want to get up to speed quickly on modern n- parametric methods. My goal is to quickly acquaint the reader with the basic concepts in many areas rather than tackling any one topic in great detail. In the interest of covering a wide range of topics, while keeping the book short, I have opted to omit most proofs. Bibliographic remarks point the reader to references that contain further details. Of course, I have had to choose topics to include andto omit,the title notwithstanding. For the mostpart,I decided to omit topics that are too big to cover in one chapter. For example, I do not cover classi cation or nonparametric Bayesian inference. The book developed from my lecture notes for a half-semester (20 hours) course populated mainly by master's-level students. For Ph. D.

  • Lingua: Inglese

    Editore: Springer New York, 2005

    0387251456 / 9780387251455

    Serie: Libro 24 di 111 - Springer Texts in Statistics

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    Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. There are many books on various aspects of nonparametric inference but no other book covers all the topics in one placeOffers a brief account of the modern topics in nonparametric inferenceThis text provides the reader with a single boo.

  • Lingua: Inglese

    Editore: Springer, Humana Okt 2005, 2005

    0387251456 / 9780387251455

    Serie: Libro 24 di 111 - Springer Texts in Statistics

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -There are many books on various aspects of nonparametric inference such as density estimation, nonparametric regression, bootstrapping, and wavelets methods. But it is hard to nd all these topics covered in one place. The goal of this text is to provide readers with a single book where they can nd a brief account of many of the modern topics in nonparametric inference. The book is aimed at master's-level or Ph. D. -level statistics and computer science students. It is also suitable for researchersin statistics, machine lea- ing and data mining who want to get up to speed quickly on modern n- parametric methods. My goal is to quickly acquaint the reader with the basic concepts in many areas rather than tackling any one topic in great detail. In the interest of covering a wide range of topics, while keeping the book short, I have opted to omit most proofs. Bibliographic remarks point the reader to references that contain further details. Of course, I have had to choose topics to include andto omit,the title notwithstanding. For the mostpart,I decided to omit topics that are too big to cover in one chapter. For example, I do not cover classi cation or nonparametric Bayesian inference. The book developed from my lecture notes for a half-semester (20 hours) course populated mainly by master's-level students. For Ph. D. 284 pp. Englisch.

  • Lingua: Inglese

    Editore: Springer, Humana Okt 2005, 2005

    0387251456 / 9780387251455

    Serie: Libro 24 di 111 - Springer Texts in Statistics

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    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -There are many books on various aspects of nonparametric inference such as density estimation, nonparametric regression, bootstrapping, and wavelets methods. But it is hard to nd all these topics covered in one place. The goal of this text is to provide readers with a single book where they can nd a brief account of many of the modern topics in nonparametric inference. The book is aimed at master¿s-level or Ph. D. -level statistics and computer science students. It is also suitable for researchersin statistics, machine lea- ing and data mining who want to get up to speed quickly on modern n- parametric methods. My goal is to quickly acquaint the reader with the basic concepts in many areas rather than tackling any one topic in great detail. In the interest of covering a wide range of topics, while keeping the book short, I have opted to omit most proofs. Bibliographic remarks point the reader to references that contain further details. Of course, I have had to choose topics to include andto omit,the title notwithstanding. For the mostpart,I decided to omit topics that are too big to cover in one chapter. For example, I do not cover classi cation or nonparametric Bayesian inference. The book developed from my lecture notes for a half-semester (20 hours) course populated mainly by master¿s-level students. For Ph. D.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 284 pp. Englisch.

  • Lingua: Inglese

    Editore: Springer, 2005

    0387251456 / 9780387251455

    Serie: Libro 24 di 111 - Springer Texts in Statistics

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    Da: Majestic Books, Hounslow, Regno UnitoMajestic Books

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    Condizione: New. Print on Demand pp. 284 Illus.

  • Lingua: Inglese

    Editore: Springer, 2005

    0387251456 / 9780387251455

    Serie: Libro 24 di 111 - Springer Texts in Statistics

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    Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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    EUR 239,14

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    Condizione: New. PRINT ON DEMAND pp. 284.