Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032477636 ISBN 13: 9781032477633
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032477636 ISBN 13: 9781032477633
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032477636 ISBN 13: 9781032477633
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New.
Language: English
Published by Taylor & Francis Ltd, 2023
ISBN 10: 1032477636 ISBN 13: 9781032477633
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032477636 ISBN 13: 9781032477633
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032477636 ISBN 13: 9781032477633
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032477636 ISBN 13: 9781032477633
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New.
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032477636 ISBN 13: 9781032477633
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New.
Condition: New. Ayanendranath Basu, Hiroyuki Shioya, Chanseok ParkIn many ways, estimation by an appropriate minimum distance method is one of the most natural ideas in statistics. However, there are many different ways of constructing an appropriate dist.
Language: English
Published by Taylor & Francis Ltd Jan 2023, 2023
ISBN 10: 1032477636 ISBN 13: 9781032477633
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Neuware - In many ways, estimation by an appropriate minimum distance method is one of the most natural ideas in statistics. However, there are many different ways of constructing an appropriate distance between the data and the model: the scope of study referred to by 'Minimum Distance Estimation' is literally huge. Filling a statistical resource gap, Statistical Inference: The Minimum Distance Approach comprehensively overviews developments in density-based minimum distance inference for independently and identically distributed data. Extensions to other more complex models are also discussed.