The Pearson Guide To Objective Mathematics For Engineering Entrance Examinations, 3/E
Author: Sharma/khattar
Publisher: Pearson Education India
Published: 2010-09
Total Pages: 1248
ISBN-13: 9788131723630
DOWNLOAD EBOOKRead and Download eBook Full
Author: Sharma/khattar
Publisher: Pearson Education India
Published: 2010-09
Total Pages: 1248
ISBN-13: 9788131723630
DOWNLOAD EBOOKAuthor: Khattar
Publisher: Pearson Education India
Published: 2010
Total Pages: 772
ISBN-13: 9788131721261
DOWNLOAD EBOOKAuthor: Khattar Dinesh
Publisher: Pearson Education India
Published: 2010-09
Total Pages: 778
ISBN-13: 9788131733806
DOWNLOAD EBOOKAuthor: Khattar Dinesh
Publisher: Pearson Education India
Published: 2010-09
Total Pages: 1034
ISBN-13: 9788131734070
DOWNLOAD EBOOKAuthor: Khattar
Publisher: Pearson Education India
Published:
Total Pages: 1038
ISBN-13: 9788131728765
DOWNLOAD EBOOKAuthor: Dinesh Khattar
Publisher: Pearson Education India
Published: 2008-09
Total Pages: 848
ISBN-13: 9788131719565
DOWNLOAD EBOOKAuthor: Anol Bhattacherjee
Publisher: CreateSpace
Published: 2012-04-01
Total Pages: 156
ISBN-13: 9781475146127
DOWNLOAD EBOOKThis book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.
Author: Lynn Harold Loomis
Publisher: World Scientific Publishing Company
Published: 2014-02-26
Total Pages: 595
ISBN-13: 9814583952
DOWNLOAD EBOOKAn authorised reissue of the long out of print classic textbook, Advanced Calculus by the late Dr Lynn Loomis and Dr Shlomo Sternberg both of Harvard University has been a revered but hard to find textbook for the advanced calculus course for decades.This book is based on an honors course in advanced calculus that the authors gave in the 1960's. The foundational material, presented in the unstarred sections of Chapters 1 through 11, was normally covered, but different applications of this basic material were stressed from year to year, and the book therefore contains more material than was covered in any one year. It can accordingly be used (with omissions) as a text for a year's course in advanced calculus, or as a text for a three-semester introduction to analysis.The prerequisites are a good grounding in the calculus of one variable from a mathematically rigorous point of view, together with some acquaintance with linear algebra. The reader should be familiar with limit and continuity type arguments and have a certain amount of mathematical sophistication. As possible introductory texts, we mention Differential and Integral Calculus by R Courant, Calculus by T Apostol, Calculus by M Spivak, and Pure Mathematics by G Hardy. The reader should also have some experience with partial derivatives.In overall plan the book divides roughly into a first half which develops the calculus (principally the differential calculus) in the setting of normed vector spaces, and a second half which deals with the calculus of differentiable manifolds.
Author: Larry Wasserman
Publisher: Springer Science & Business Media
Published: 2013-12-11
Total Pages: 446
ISBN-13: 0387217363
DOWNLOAD EBOOKTaken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.
Author: Amit M Agarwal
Publisher: Arihant Publications India limited
Published:
Total Pages:
ISBN-13: 9325298694
DOWNLOAD EBOOK