Statistical Independence in Probability, Analysis and Number Theory (Dover Books on Mathematics) - Tapa blanda
Sinopsis
This concise monograph in probability by a well-known mathematician presumes a familiarity with Lebesgue's theory of measure and integration, the elementary theory of Fourier integrals, and the rudiments of number theory. Readers may then follow Mark Kac's attempt "to rescue statistical independence from the fate of abstract oblivion by showing how in its simplest form it arises in various contexts cutting across different mathematical disciplines."
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Mark Kac (1914-1984) was born in Poland and came to the United States in the 1930s. He taught at Cornell and later served on the faculties of Rockefeller University in New York and the University of Southern California. His main focus was probability theory, and Dover also publishes his Mathematics and Logic, co-written with S. M. Ulam.
"Sobre este título" puede pertenecer a otra edición de este libro.
Otras ediciones populares con el mismo título
Resultados de la búsqueda para Statistical Independence in Probability, Analysis and...
Imagen de archivo
Statistical Independence in Probability, Analysis and Number Theory Format: Trade Paper
Librería: INDOO, Avenel, NJ, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Brand New. Nº de ref. del artículo: 9780486821580
Comprar nuevo
EUR 12,58
Gastos de envío:
GRATIS
A Estados Unidos de America
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Statistical Independence in Probability, Analysis and Number Theory (Paperback)
Publicado por
Dover Publications Inc., New York, 2018
ISBN 10: 0486821587
ISBN 13: 9780486821580
Nuevo
Paperback
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: new. Paperback. his concise monograph in probability by a well-known mathematician presumes a familiarity with Lebesgue's theory of measure and integration, the elementary theory of Fourier integrals, and the rudiments of number theory. Readers may then follow Mark Kac's attempt "to rescue statistical independence from the fate of abstract oblivion by showing how in its simplest form it arises in various contexts cutting across different mathematical disciplines." AUTHOR: Mark Kac (19141984) was born in Poland and came to the United States in the 1930s. He taught at Cornell and later served on the faculties of Rockefeller University in New York and the University of Southern California. His main focus was probability theory, and Dover also publishes his Mathematics and Logic, co-written with S. M. Ulam. This concise monograph by a well-known mathematician shows how probability theory, in its simplest form, arises in a variety of contexts and in many different mathematical disciplines. 1959 edition. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9780486821580
Comprar nuevo
EUR 17,22
Gastos de envío:
GRATIS
A Estados Unidos de America
Cantidad disponible: 1 disponibles
Imagen de archivo
Statistical Independence in Probability, Analysis and Number Theory
Librería: Revaluation Books, Exeter, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: Brand New. reprint edition. 94 pages. 8.50x5.00x0.25 inches. In Stock. Nº de ref. del artículo: 0486821587
Comprar nuevo
EUR 25,70
Gastos de envío:
EUR 11,38
De Reino Unido a Estados Unidos de America
Cantidad disponible: 1 disponibles
Imagen de archivo
Statistical Independence in Probability, Analysis and Number Theory (Paperback)
Publicado por
Dover Publications Inc., New York, 2018
ISBN 10: 0486821587
ISBN 13: 9780486821580
Nuevo
Paperback
Librería: AussieBookSeller, Truganina, VIC, Australia
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: new. Paperback. his concise monograph in probability by a well-known mathematician presumes a familiarity with Lebesgue's theory of measure and integration, the elementary theory of Fourier integrals, and the rudiments of number theory. Readers may then follow Mark Kac's attempt "to rescue statistical independence from the fate of abstract oblivion by showing how in its simplest form it arises in various contexts cutting across different mathematical disciplines." AUTHOR: Mark Kac (19141984) was born in Poland and came to the United States in the 1930s. He taught at Cornell and later served on the faculties of Rockefeller University in New York and the University of Southern California. His main focus was probability theory, and Dover also publishes his Mathematics and Logic, co-written with S. M. Ulam. This concise monograph by a well-known mathematician shows how probability theory, in its simplest form, arises in a variety of contexts and in many different mathematical disciplines. 1959 edition. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9780486821580
Comprar nuevo
EUR 23,94
Gastos de envío:
EUR 32,04
De Australia a Estados Unidos de America
Cantidad disponible: 1 disponibles
Imagen de archivo
Statistical Independence in Probability, Analysis and Number Theory (Paperback)
Publicado por
Dover Publications Inc., New York, 2018
ISBN 10: 0486821587
ISBN 13: 9780486821580
Nuevo
Paperback
Librería: CitiRetail, Stevenage, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: new. Paperback. his concise monograph in probability by a well-known mathematician presumes a familiarity with Lebesgue's theory of measure and integration, the elementary theory of Fourier integrals, and the rudiments of number theory. Readers may then follow Mark Kac's attempt "to rescue statistical independence from the fate of abstract oblivion by showing how in its simplest form it arises in various contexts cutting across different mathematical disciplines." AUTHOR: Mark Kac (19141984) was born in Poland and came to the United States in the 1930s. He taught at Cornell and later served on the faculties of Rockefeller University in New York and the University of Southern California. His main focus was probability theory, and Dover also publishes his Mathematics and Logic, co-written with S. M. Ulam. This concise monograph by a well-known mathematician shows how probability theory, in its simplest form, arises in a variety of contexts and in many different mathematical disciplines. 1959 edition. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9780486821580
Comprar nuevo
EUR 19,32
Gastos de envío:
EUR 42,10
De Reino Unido a Estados Unidos de America
Cantidad disponible: 1 disponibles