9781032593036 - statistical inference (chapman & hall/crc texts in statistical science) de casella, george; berger, roger (33 resultados)
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Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 105 de 59. Libro 105 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 105 de 59. Libro 105 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 105 de 59. Libro 105 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Editorial: Chapman and Hall/CRC, 2024
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 105 de 59. Libro 105 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 105 de 59. Libro 105 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardback. Condición: 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.
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Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 105 de 59. Libro 105 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 105 de 59. Libro 105 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 105 de 59. Libro 105 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardcover. Condición: 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 c…onsequences, 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.
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Editorial: Taylor and Francis Ltd, GB, 2024
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 105 de 59. Libro 105 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardback. Condición: 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.
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Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 105 de 59. Libro 105 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Condición: 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 .
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Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 105 de 59. Libro 105 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardcover. Condición: Brand New. 2nd edition. 648 pages. 10.00x7.00x1.50 inches. In Stock.
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Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 105 de 59. Libro 105 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardback. Condición: 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.
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Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 105 de 59. Libro 105 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardback. Condición: 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.
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Editorial: Taylor & Francis Ltd, 2024
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 105 de 59. Libro 105 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardcover. Condición: 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 c…onsequences, 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.
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Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 105 de 59. Libro 105 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condición: 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 concep…ts 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.
Idioma: Inglés
Editorial: Chapman & Hall, 2024
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 105 de 59. Libro 105 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardcover. Condición: Brand New. 2nd edition. 648 pages. 10.00x7.00x1.50 inches. In Stock. This item is printed on demand.
