Jv stone (18 risultati)

Paperback. Condizione: Fair. Discovered by an 18th century mathematician and preacher, Bayes' rule is a cornerstone of modern probability theory. In this richly illustrated book, a range of accessible examples is used to show how Bayes' rule is actually a natural consequence of common sense reasoning. Bayes' rule is then derived using intuitive graphical representations of probability, and Bayesian analysis is applied to parameter estimation using the MatLab and Python programs provided online. The tutorial style of writing, combined with a comprehensive glossary, makes this an ideal primer for novices who wish to become familiar with the basic principles of Bayesian analysis. Note that this MatLab version of Bayes' Rule includes working MatLab code snippets alongside the relevant equations.…

Paperback. Condizione: Fair. Discovered by an 18th century mathematician and preacher, Bayes' rule is a cornerstone of modern probability theory. In this richly illustrated book, a range of accessible examples is used to show how Bayes' rule is actually a natural consequence of common sense reasoning. Bayes' rule is then derived using intuitive graphical representations of probability, and Bayesian analysis is applied to parameter estimation using the MatLab and Python programs provided online. The tutorial style of writing, combined with a comprehensive glossary, makes this an ideal primer for novices who wish to become familiar with the basic principles of Bayesian analysis. Note that this MatLab version of Bayes' Rule includes working MatLab code snippets alongside the relevant equations.…

Hardcover. Condizione: Very Good. 320 pages, a very good hardback in the publisher's maroon cloth with bright gold gilt lettering to the spine.

Encuadernación de tapa dura. Condizione: Bueno. Miller, Thomas A; R. J. Aston. T. Goto, L. Hughes, H. Ishizaki, M, Isobe, K.J. Kramer, S.H.P. Maddrell, W. Mordue, S.E. Reynolds, I.M. Seligman, A.N. Starratt, R.W. Steele, J.V. Stone, A. Suzuki, J.W. Truman y J. Zdarek. Neurohormonal techniques in Insects. Estados Unidos, Springer-Verlag New York Inc., 1980. Características: Buen estado general. Pasta dura en cartoncillo. Tapas en excelente estado. Guardas limpias. Cantos limpios. Incluye varios diagramas en blanco y negro. 276 p. + índice. (24 x 16 cm) Peso: 850 g.…

Magazine. Condizione: Very Good. First Edition. The covers and pages are clean and unmarked. Cover illustration and interior illustrations for 'The Sky-Green Blues' by Tanith Lee are by Dominic Harman. Postage charge will be reduced by £1.50 when the order is processed. Harman, Dominic (illustratore).…

Light Blue Cloth. Condizione: Good Contents Very Good. No Jacket. Undated Circa 1945. Please Email for further details. .NO EXTRA POSTAGE BEYOND OUR STANDARD RATES! Size: 8vo - over 7¾" - 9¾". Fully Illustrated in Black & White (illustratore). Not Signed or Inscribed.

Paperback. Condizione: New.

Red Cloth. Condizione: VERY GOOD ( AVERAGE). No Jacket. NO EXTRA POSTAGE ABOVE OUR STANDARD RATES! (UK ONLY). Please Email for further details. Size: 8vo - over 7¾" - 9¾". Pictorial Illustrations Throughout. (illustratore). Not Signed or Inscribed.

Condizione: New.

Paperback. Condizione: new. Paperback. Discovered by an 18th century mathematician and preacher, Bayes' rule is a cornerstone of modern probability theory. In this richly illustrated book, a range of accessible examples is used to show how Bayes' rule is actually a natural consequence of common sense reasoning. Bayes' rule is then derived using intuitive graphical representations of probability, and Bayesian analysis is applied to parameter estimation using the MatLab and Python programs provided online. The tutorial style of writing, combined with a comprehensive glossary, makes this an ideal primer for novices who wish to become familiar with the basic principles of Bayesian analysis. Note that this MatLab version of Bayes' Rule includes working MatLab code snippets alongside the relevant equations. Discovered by an 18th century mathematician and preacher, Bayes' rule is a cornerstone of modern probability theory. In this richly illustrated book, a range of accessible examples is used to show how Bayes' rule is actually a natural consequence of common sense reasoning. Bayes' rule is then derived using intuitive graphical representations of probability, and Bayesian analysis is applied to parameter estimation using the MatLab and Python programs provided online. The tutorial style of writing, combined with a comprehensive glossary, makes this an ideal primer for novices who wish to become familiar with the basic principles of Bayesian analysis. Note that this MatLab version of Bayes' Rule includes working MatLab code snippets alongside the relevant equations. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Hardcover. Condizione: Near Fine. 1st Edition. 87 Pages, Photos With Text On Facing Pages. Tan Cloth Stamped In Brown. Lightly Used, Slight Rubbing, No Stains Or Fraying Or Marks, Offset Foxing To Free Endpapers As Usual. This Printing Is Usually Seen In A Different Bind Of Cloth Spine And Multicolor Boards, Priority Unknown, But This Being Full Cloth, May Well Have Priority.…

Condizione: New.

Paperback. Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Hardcover. Condizione: Good. First Edition. 320 pages including index. No date. Appears to be circa the World War II era. Loaded with nostalgic black and white illustrations and photographs of state of the art transportation hardware of a few decades back. Many illustrations include very detailed labelling of parts etc., making them highly informative. Decorated endpapers. Average wear. Binding intact. Unmarked. Nice copy in red leatherette boards. A most educational work.…

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.