Mathematical Methods Statistics by Cramér Harald (43 results)

Condition: acceptable. This book is in Acceptable condition. All pages are intact, but may have lots of notes, water damage or other issues and be ex library.

Condition: good. Fast & Free Shipping â" Good condition with a solid cover and clean pages. Shows normal signs of use such as light wear or a few marks highlighting, but overall a well-maintained copy ready to enjoy. Supplemental items like CDs or access codes may not be included.

Condition: acceptable. Used - Acceptable: All pages and the cover are intact, but shrink wrap, dust covers, or boxed set case may be missing. Pages may include limited notes, highlighting, or minor water damage but the text is readable. Item may be missing bundled media.

Hardcover. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 2.1.

XVI/575 S./pp., Originalleineneinband (publisher's cloth binding), Bibliotheksexemplar in gutem Zustand / exlibrary in very good condition (Stempel auf Titel / title stamped, Rückenschildchen / lettering pannel to the spine, Block sehr gut / contents fine, keine Unterstreichungen oder Anstreichungen / no underlining or remarks, nicht in Folie eingeschlagen / not wrapped up in foil), (Princeton Mathematical Series 9), Sprache: englisch.

Hardcover. Condition: Very Good. Hardcover. Brown cloth over boards with gold lettering on spine. Covers have general edgewear and some overall rubbing, especially at crown and foot of spine. Binding slightly loose but still holding sturdily. Title page dated 1946. Copyright page dated 1946. 575 pages. Gutter cracked at rear and front endpapers. Former owner signed front attached endpaper. Pages lightly toned towards edges. Light pencil marks throughout; otherwise clean. Overall very good condition. Please email with questions or to request photos. Note: if there is a photo beside this listing, it's a STOCK photo that ABE put there (for reasons that we cannot understand or control) and might not match this actual book.

hardcover. Condition: Good. Dust Jacket Condition: DUST JACKET. Pages are crisp and clean, no marking. Cover is good. Binding is tight/good.

Original Red Cloth Hardback. Condition: Very Good-. First American Edition. 1946. xvi, 575pp. "In this classic of statistical mathematical theory, Harald Cramér joins the two major lines of development in the field: while British and American statisticians were developing the science of statistical inference, French and Russian probabilitists transformed the classical calculus of probability into a rigorous and pure mathematical theory. The result of Cramér's work is a masterly exposition of the mathematical methods of modern statistics that set the standard that others have since sought to follow. For anyone with a working knowledge of undergraduate mathematics the book is self contained. The first part is an introduction to the fundamental concept of a distribution and of integration with respect to a distribution. The second part contains the general theory of random variables and probability distributions while the third is devoted to the theory of sampling, statistical estimation, and tests of significance." Publisher's red/brown cloth with gilt titles to the spine. General soiling to cloth. Pages browning. Previous owner's name to top of ffep. PLEASE NOTE: heavyish book so extra may be needed for shipping to non-UK customers.

Hardcover. Condition: Good to Very Good. First American Edition. 1946. xvi, 575pp. "During the last 25 years, statistical science has made great progress, thanks to the brilliant schools of British and American statisticians, among whom the name of Professor R. A. Fisher should be mentioned in the foremost place. During the same time, largely owing to the work of French and Russian mathematicians, the classical calculus of probability has developed into a purely mathematical theory satisfying modern standards with respect to rigour. The purpose of the present work is to join these two lines of development in an exposition of the mathematical theory of modern statistical methods, in so far as these are based on the concept of probability." (From author's Preface) Some expected shelf wear to boards, spine and edges. Previous owner's signature to FFEP. The book is otherwise in very good condition. There are no other inscriptions and all contents are tight and clean. PLEASE NOTE: Heavy book so extra will be needed for shipping to non-UK customers.

Cover a bit worn; else G Hardback; text unmarked; owner's name; no DJ. xvi + 575 pp.

Hardcover. 574 S. A00607 Ex-library with Stamp and Library-Signature in Good Condition, Some Traces of Use Sprache: Englisch Gewicht in Gramm: 1150.

6th Printing. xvi, 575p., original burgundy cloth.

Condition: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,900grams, ISBN:9780691005478.

Condition: Good. 1954 6th printing. Princeton University Press. Hardcover large octavo. Brown cloth with gilt spine lettering. 575p. Good plus, only light wear; owner name stamp. no dj. Binding secure; text clean.

Hardcover. Condition: Very Good. No Jacket. 1st Edition. First American Edition (1st ed., 1945). xvi, 575 pp. Original cloth. Signature of former owner on front flyleaf, else Very Good, without dust jacket. 'In this classic of statistical mathematical theory, Harald Cramer joins the two major lines of development in the field: while British and American statisticians were developing the science of statistical inference. French and Russian probabilitists transformed the classical calculus of probability into a rigorous and pure mathematical theory. The result of Cramer's work is a masterly exposition of the mathematical methods of modern statistics that set the standard that others have since sought to follow. For anyone with a working knowledge of undergraduate mathematics the book is self contained. The first part is an introduction to the fundamental concept of a distribution and of integration with respect to a distribution, The second part contains the general theory of random variables and probability distributions while the third is devoted to the theory of sampling, statistical estimation, and tests of significance' (Web site of Princeton University Press, which reprinted the book most recently in 1999).

Condition: Very Good.

Condition: New.

Condition: new.

Condition: New. pp. 592.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New. pp. 592 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.

Condition: New. pp. 592.

Condition: New. SUPER FAST SHIPPING.

Condition: As New. Unread book in perfect condition.

Condition: New. In.

Condition: New. 1999. Paperback. Presenting a statistical mathematical theory, this work joins the two major lines of development in the field: while British and American statisticians were developing the science of statistical inference, French and Russian probabilitists transformed the classical calculus of probability into a rigorous and pure mathematical theory. Series: Princeton Mathematical Series. Num Pages: 575 pages, 1, black & white illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 233 x 159 x 33. Weight in Grams: 836. . . . . . Books ship from the US and Ireland.

Paperback. Condition: New. Revised ed. In this classic of statistical mathematical theory, Harald Cramer joins the two major lines of development in the field: while British and American statisticians were developing the science of statistical inference, French and Russian probabilitists transformed the classical calculus of probability into a rigorous and pure mathematical theory. The result of Cramer's work is a masterly exposition of the mathematical methods of modern statistics that set the standard that others have since sought to follow. For anyone with a working knowledge of undergraduate mathematics the book is self contained. The first part is an introduction to the fundamental concept of a distribution and of integration with respect to a distribution. The second part contains the general theory of random variables and probability distributions while the third is devoted to the theory of sampling, statistical estimation, and tests of significance.

Paperback. Condition: New. Revised ed. In this classic of statistical mathematical theory, Harald Cramer joins the two major lines of development in the field: while British and American statisticians were developing the science of statistical inference, French and Russian probabilitists transformed the classical calculus of probability into a rigorous and pure mathematical theory. The result of Cramer's work is a masterly exposition of the mathematical methods of modern statistics that set the standard that others have since sought to follow. For anyone with a working knowledge of undergraduate mathematics the book is self contained. The first part is an introduction to the fundamental concept of a distribution and of integration with respect to a distribution. The second part contains the general theory of random variables and probability distributions while the third is devoted to the theory of sampling, statistical estimation, and tests of significance.

Paperback. Condition: New. Revised ed. In this classic of statistical mathematical theory, Harald Cramer joins the two major lines of development in the field: while British and American statisticians were developing the science of statistical inference, French and Russian probabilitists transformed the classical calculus of probability into a rigorous and pure mathematical theory. The result of Cramer's work is a masterly exposition of the mathematical methods of modern statistics that set the standard that others have since sought to follow. For anyone with a working knowledge of undergraduate mathematics the book is self contained. The first part is an introduction to the fundamental concept of a distribution and of integration with respect to a distribution. The second part contains the general theory of random variables and probability distributions while the third is devoted to the theory of sampling, statistical estimation, and tests of significance.