Numerical Linear Algebra For Applications In Statistics

Springer. hardcover. Like New. 6x0x9. Unmarked hardcover.

Springer, 1998-08-13. Hardcover. New. 8x6x2.

Springer. 1998. Very Good. Very Good. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported

Hard Cover. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; The Numerical Linear Algebra for Applications in Statistics.

Springer, 1998-08-13. Hardcover. New. New. In shrink wrap. Looks like an interesting title!

SPRINGER. Softcover. Brand New. “International Edition” - ISBN number and front cover may be different in rare cases but CONTENTS are same as the US edition. No shipping to PO BOX, APO, FPO addresses. Kindly provide day time phone number in order to ensure smooth delivery. Printed in black & white in English language. Territorial restrictions may be printed… Saber más sobre este artículo

New. Bookstore new w/ minor wear.

In overall good condition, no pages missing. Shipping can take between 2-6weeks for international deliveries. Hardback copies may or may not have dust jackets, please get in contact for more information.

Paperback. New. Book Condition: New Paperback Eastern Economy Edition textbook with identical content as the US version. Shipped Same Day. We do not ship APO and FPO. Will be dispatched fast. Please send me an email if you have any questions. 100% Satisfaction.

Hardback. New. Accurate and efficient computer algorithms for factoring matrices, solving linear systems of equations, and extracting eigenvalues and eigenvectors. Numerous exercises allow the text to be used for a first course in statistical computing or as supplementary text for various courses that emphasise computations.

New. New Book; Fast Shipping from UK; Not signed; Not First Edition; The Numerical Linear Algebra for Applications in Statistics.

Springer, 2020. Paperback. New.

hardcover. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.

Paperback / softback. New. Accurate and efficient computer algorithms for factoring matrices, solving linear systems of equations, and extracting eigenvalues and eigenvectors. Numerous exercises allow the text to be used for a first course in statistical computing or as supplementary text for various courses that emphasise computations.

Springer, 2020. Paperback. New.

paperback. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.