9781032593036 - statistical inference di casella, george; berger, roger (30 risultati)
Lingua: Inglese
Editore: Chapman and Hall/CRC (edition 2), 2024
Serie: Libro 105 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Lingua: Inglese
Editore: Chapman and Hall/CRC (edition 2), 2024
Serie: Libro 105 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardcover. Condizione: New. 2. 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: Chapman and Hall/CRC, 2024
Serie: Libro 105 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Editore: Chapman and Hall/CRC, 2024
Serie: Libro 105 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Editore: Chapman and Hall/CRC, 2024
Serie: Libro 105 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Condizione: New. 2nd edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2024
Serie: Libro 105 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Serie: Libro 105 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Lingua: Inglese
Editore: Chapman and Hall/CRC, 2024
Serie: Libro 105 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Lingua: Inglese
Editore: Chapman and Hall/CRC, 2024
Serie: Libro 105 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Editore: Chapman and Hall/CRC, 2024
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Editore: Chapman and Hall/CRC, 2024
Serie: Libro 105 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Editore: Chapman and Hall/CRC, 2024
Serie: Libro 105 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2024
Serie: Libro 105 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Condizione: New. 2024. 2nd Edition. hardcover. . . . . .
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2024
Serie: Libro 105 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardback. Condizione: New. This classic textbook builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and natural extensions, and consequences…, of previous concepts. It covers all topics from a standard inference course including: distributions, random variables, data reduction, point estimation, hypothesis testing, and interval estimation.Features The classic graduate-level textbook on statistical inferenceDevelops elements of statistical theory from first principles of probabilityWritten in a lucid style accessible to anyone with some background in calculusCovers all key topics of a standard course in inferenceHundreds of examples throughout to aid understandingEach chapter includes an extensive set of graduated exercisesStatistical Inference, Second Edition is primarily aimed at graduate students of statistics, but can be used by advanced undergraduate students majoring in statistics who have a solid mathematics background. It also stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures, while less focused on formal optimality considerations.This is a reprint of the second edition originally published by Cengage Learning, Inc. in 2001.
Lingua: Inglese
Editore: Taylor & Francis Ltd, 2024
Serie: Libro 105 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2024
Serie: Libro 105 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Condizione: NEW.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2024
Serie: Libro 105 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardback. Condizione: New. This classic textbook builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and natural extensions, and consequences…, of previous concepts. It covers all topics from a standard inference course including: distributions, random variables, data reduction, point estimation, hypothesis testing, and interval estimation.Features The classic graduate-level textbook on statistical inferenceDevelops elements of statistical theory from first principles of probabilityWritten in a lucid style accessible to anyone with some background in calculusCovers all key topics of a standard course in inferenceHundreds of examples throughout to aid understandingEach chapter includes an extensive set of graduated exercisesStatistical Inference, Second Edition is primarily aimed at graduate students of statistics, but can be used by advanced undergraduate students majoring in statistics who have a solid mathematics background. It also stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures, while less focused on formal optimality considerations.This is a reprint of the second edition originally published by Cengage Learning, Inc. in 2001.
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2024
Serie: Libro 105 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Condizione: New. 2024. 2nd Edition. hardcover. . . . . . Books ship from the US and Ireland.
Lingua: Inglese
Editore: Taylor & Francis Ltd, 2024
Serie: Libro 105 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardcover. Condizione: new. Hardcover. This classic textbook builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and natural extensions, and…consequences, of previous concepts. It covers all topics from a standard inference course including: distributions, random variables, data reduction, point estimation, hypothesis testing, and interval estimation.Features The classic graduate-level textbook on statistical inferenceDevelops elements of statistical theory from first principles of probabilityWritten in a lucid style accessible to anyone with some background in calculusCovers all key topics of a standard course in inferenceHundreds of examples throughout to aid understandingEach chapter includes an extensive set of graduated exercisesStatistical Inference, Second Edition is primarily aimed at graduate students of statistics, but can be used by advanced undergraduate students majoring in statistics who have a solid mathematics background. It also stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures, while less focused on formal optimality considerations.This is a reprint of the second edition originally published by Cengage Learning, Inc. in 2001. Basics of probability to theory of statistical inference using techniques, definitions, concepts that are statistical, natural extensions, consequences, of previous concepts. Topics from a standard inference course: distributions, random variables, data reduction, point estimation, hypothesis testing, interval estimation, regression. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: CRC Press, 2024
Serie: Libro 105 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Condizione: New. Professor George Casella completed his undergraduate education at Fordham University and graduate education at Purdue University. He served on the faculty of Rutgers University, Cornell University, and the University of Florida. His contributions .
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2024
Serie: Libro 105 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardback. Condizione: New. This classic textbook builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and natural extensions, and consequences…, of previous concepts. It covers all topics from a standard inference course including: distributions, random variables, data reduction, point estimation, hypothesis testing, and interval estimation.Features The classic graduate-level textbook on statistical inferenceDevelops elements of statistical theory from first principles of probabilityWritten in a lucid style accessible to anyone with some background in calculusCovers all key topics of a standard course in inferenceHundreds of examples throughout to aid understandingEach chapter includes an extensive set of graduated exercisesStatistical Inference, Second Edition is primarily aimed at graduate students of statistics, but can be used by advanced undergraduate students majoring in statistics who have a solid mathematics background. It also stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures, while less focused on formal optimality considerations.This is a reprint of the second edition originally published by Cengage Learning, Inc. in 2001.
Lingua: Inglese
Editore: Chapman & Hall, 2024
Serie: Libro 105 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 2nd edition. 648 pages. 10.00x7.00x1.50 inches. In Stock.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2024
Serie: Libro 105 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
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Hardback. Condizione: New. This classic textbook builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and natural extensions, and consequences…, of previous concepts. It covers all topics from a standard inference course including: distributions, random variables, data reduction, point estimation, hypothesis testing, and interval estimation.Features The classic graduate-level textbook on statistical inferenceDevelops elements of statistical theory from first principles of probabilityWritten in a lucid style accessible to anyone with some background in calculusCovers all key topics of a standard course in inferenceHundreds of examples throughout to aid understandingEach chapter includes an extensive set of graduated exercisesStatistical Inference, Second Edition is primarily aimed at graduate students of statistics, but can be used by advanced undergraduate students majoring in statistics who have a solid mathematics background. It also stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures, while less focused on formal optimality considerations.This is a reprint of the second edition originally published by Cengage Learning, Inc. in 2001.
Lingua: Inglese
Editore: Taylor & Francis Ltd, 2024
Serie: Libro 105 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardcover. Condizione: new. Hardcover. This classic textbook builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and natural extensions, and…consequences, of previous concepts. It covers all topics from a standard inference course including: distributions, random variables, data reduction, point estimation, hypothesis testing, and interval estimation.Features The classic graduate-level textbook on statistical inferenceDevelops elements of statistical theory from first principles of probabilityWritten in a lucid style accessible to anyone with some background in calculusCovers all key topics of a standard course in inferenceHundreds of examples throughout to aid understandingEach chapter includes an extensive set of graduated exercisesStatistical Inference, Second Edition is primarily aimed at graduate students of statistics, but can be used by advanced undergraduate students majoring in statistics who have a solid mathematics background. It also stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures, while less focused on formal optimality considerations.This is a reprint of the second edition originally published by Cengage Learning, Inc. in 2001. Basics of probability to theory of statistical inference using techniques, definitions, concepts that are statistical, natural extensions, consequences, of previous concepts. Topics from a standard inference course: distributions, random variables, data reduction, point estimation, hypothesis testing, interval estimation, regression. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Chapman And Hall/CRC Mai 2024, 2024
Serie: Libro 105 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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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 -This classic textbook builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and conce…pts that are statistical and natural extensions, and consequences, of previous concepts. It covers all topics from a standard inference course including: distributions, random variables, data reduction, point estimation, hypothesis testing, and interval estimation.FeaturesThe classic graduate-level textbook on statistical inferenceDevelops elements of statistical theory from first principles of probabilityWritten in a lucid style accessible to anyone with some background in calculusCovers all key topics of a standard course in inferenceHundreds of examples throughout to aid understandingEach chapter includes an extensive set of graduated exercisesStatistical Inference, Second Edition is primarily aimed at graduate students of statistics, but can be used by advanced undergraduate students majoring in statistics who have a solid mathematics background. It also stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures, while less focused on formal optimality considerations.This is a reprint of the second edition originally published by Cengage Learning, Inc. in 2001. 566 pp. Englisch.
Lingua: Inglese
Editore: Chapman & Hall, 2024
Serie: Libro 105 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardcover. Condizione: Brand New. 2nd edition. 648 pages. 10.00x7.00x1.50 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: Chapman And Hall/CRC, 2024
Serie: Libro 105 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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- Print on Demand
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This classic textbook builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts t…hat are statistical and natural extensions, and consequences, of previous concepts. It covers all topics from a standard inference course including: distributions, random variables, data reduction, point estimation, hypothesis testing, and interval estimation.FeaturesThe classic graduate-level textbook on statistical inferenceDevelops elements of statistical theory from first principles of probabilityWritten in a lucid style accessible to anyone with some background in calculusCovers all key topics of a standard course in inferenceHundreds of examples throughout to aid understandingEach chapter includes an extensive set of graduated exercisesStatistical Inference, Second Edition is primarily aimed at graduate students of statistics, but can be used by advanced undergraduate students majoring in statistics who have a solid mathematics background. It also stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures, while less focused on formal optimality considerations.This is a reprint of the second edition originally published by Cengage Learning, Inc. in 2001.
Lingua: Inglese
Editore: Taylor & Francis Ltd, 2024
Serie: Libro 105 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardcover. Condizione: new. Hardcover. This classic textbook builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and natural extensions, and…consequences, of previous concepts. It covers all topics from a standard inference course including: distributions, random variables, data reduction, point estimation, hypothesis testing, and interval estimation.Features The classic graduate-level textbook on statistical inferenceDevelops elements of statistical theory from first principles of probabilityWritten in a lucid style accessible to anyone with some background in calculusCovers all key topics of a standard course in inferenceHundreds of examples throughout to aid understandingEach chapter includes an extensive set of graduated exercisesStatistical Inference, Second Edition is primarily aimed at graduate students of statistics, but can be used by advanced undergraduate students majoring in statistics who have a solid mathematics background. It also stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures, while less focused on formal optimality considerations.This is a reprint of the second edition originally published by Cengage Learning, Inc. in 2001. Basics of probability to theory of statistical inference using techniques, definitions, concepts that are statistical, natural extensions, consequences, of previous concepts. Topics from a standard inference course: distributions, random variables, data reduction, point estimation, hypothesis testing, interval estimation, regression. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Altre immaginiLingua: Inglese
Editore: Chapman and Hall/CRC, 2024
Serie: Libro 105 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
- Print on Demand
Da: preigu, Osnabrück, Germaniapreigu
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Buch. Condizione: Neu. Statistical Inference | George Casella (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2024 | Chapman and Hall/CRC | EAN 9781032593036 | Verantwortliche Person für die EU: Taylor & Francis Verlag GmbH, Kaufingerstr. 24, 80331 München, gpsr[at]taylorandfrancis[dot]com | Anbieter: preigu Print on De…mand.
