Multivariate Probability by Mccoll John (28 results)

Soft cover. Condition: As New. 1st Edition. From publisher's library. Bookplate on inside cover and library stamp, otherwise book is new, never read, pages clean and crisp, spine unbroken. 0423C.

Soft cover. Condition: New. ISBN:9780340719961,288pp.

Condition: New. Brand New, Softcover edition. This item may ship from the US or our Overseas warehouse depending on your location and stock availability.

Paperback. Condition: Very Good. Text is unmarked; pages are bright. Binding is sturdy. Covers show a little light wear around the edges. 304pp.

Condition: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Paperback. Condition: New Books. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability. …

Condition: As New. Unread book in perfect condition.

Condition: New.

Paperback. Condition: New. This book is a comprehensive guide to multivariate probability for students who have an elementary knowledge of probability and are ready to move on to more advanced concepts Topics covered include:A review of basic probability theory, including core ideas about random variablesBivariate distributions and the general theory of random vectorsRelationships between random variablesNormal linear model and multivariate sampling distributionsGenerating functions and convergence. Each section is illustrated with numerous examples. Multivariate probability deliberately avoids a measure-theoretic approach in order to make these complex concepts easily accessible to a broad readership. Attention is restricted to discrete and (absolutely) continuous random variables. Although proofs are given of all the main results, this book is primarily intended to provide readers with the tools they require to build appropriate probability models for real-life situations. The usefulness of simulation in this respect is emphasized throughout the book.…

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

Condition: new.

Condition: New. In English.

Condition: New.

Condition: New. pp. 316.

Condition: As New. Unread book in perfect condition.

Condition: New. Num Pages: black & white illustrations. BIC Classification: PB. Category: (P) Professional & Vocational. Dimension: 234 x 159 x 6. Weight in Grams: 464. . 2004. 2nd Edition. Paperback. . . . .

Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.

Condition: New. pp. 316.

Paperback. Condition: Brand New. 224 pages. 9.17x6.14x0.83 inches. In Stock.

Condition: New. Num Pages: black & white illustrations. BIC Classification: PB. Category: (P) Professional & Vocational. Dimension: 234 x 159 x 6. Weight in Grams: 464. . 2004. 2nd Edition. Paperback. . . . . Books ship from the US and Ireland.

Paperback. Condition: New. This book is a comprehensive guide to multivariate probability for students who have an elementary knowledge of probability and are ready to move on to more advanced concepts Topics covered include:A review of basic probability theory, including core ideas about random variablesBivariate distributions and the general theory of random vectorsRelationships between random variablesNormal linear model and multivariate sampling distributionsGenerating functions and convergence. Each section is illustrated with numerous examples. Multivariate probability deliberately avoids a measure-theoretic approach in order to make these complex concepts easily accessible to a broad readership. Attention is restricted to discrete and (absolutely) continuous random variables. Although proofs are given of all the main results, this book is primarily intended to provide readers with the tools they require to build appropriate probability models for real-life situations. The usefulness of simulation in this respect is emphasized throughout the book.…

N.A. Condition: New. ISBN:9788126545209.

Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 498.

Paperback. Condition: Brand New. 224 pages. 9.17x6.14x0.83 inches. In Stock. This item is printed on demand.

Condition: New. PRINT ON DEMAND pp. 316.

Paperback. Condition: new. Paperback. This book is a comprehensive guide to multivariate probability for students who have an elementary knowledge of probability and are ready to move on to more advanced concepts Topics covered include:A review of basic probability theory, including core ideas about random variablesBivariate distributions and the general theory of random vectorsRelationships between random variablesNormal linear model and multivariate sampling distributionsGenerating functions and convergence. Each section is illustrated with numerous examples. Multivariate probability deliberately avoids a measure-theoretic approach in order to make these complex concepts easily accessible to a broad readership. Attention is restricted to discrete and (absolutely) continuous random variables. Although proofs are given of all the main results, this book is primarily intended to provide readers with the tools they require to build appropriate probability models for real-life situations. The usefulness of simulation in this respect is emphasized throughout the book. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…