COMPUTER ORIENTED STATISTICAL METHODS (FOR CSE/IT) (SEMESTER III) JNTU PDF Download
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Author: Dr. T.K.V Iyengar, B. Krishna Gandhi, S. Ranganatham & Dr. M.VS.S.N. Prasad
Publisher: S. Chand Publishing
ISBN: 9352839374
Category :
Languages : en
Pages : 571
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Book Description
Computer Oriented Statistical Methods has been written strictly according to the revised syllabus (R-18) of B.Tech. Second year (I Semester) students of Jawaharlal Nehru Technological University, Hyderabad with effect from 2018-19 academic year
Author: Dr. T.K.V Iyengar, B. Krishna Gandhi, S. Ranganatham & Dr. M.VS.S.N. Prasad
Publisher: S. Chand Publishing
ISBN: 9352839374
Category :
Languages : en
Pages : 571
Get Book Here
Book Description
Computer Oriented Statistical Methods has been written strictly according to the revised syllabus (R-18) of B.Tech. Second year (I Semester) students of Jawaharlal Nehru Technological University, Hyderabad with effect from 2018-19 academic year
Author: Dr T.K.V. Iyengar & Dr B. Krishna Gandhi & S. Ranganadham &
Dr M.V.S.S.N. Prasad
Publisher: S. Chand Publishing
ISBN: 9352838270
Category : Science
Languages : en
Pages : 592
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Book Description
This book comprises previous question papers problems at appropriate places and also previous GATE questions at the end of each chapter for the benefit of the students
Author: T. T. Soong
Publisher: John Wiley & Sons
ISBN: 0470868155
Category : Mathematics
Languages : en
Pages : 406
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Book Description
This textbook differs from others in the field in that it has been prepared very much with students and their needs in mind, having been classroom tested over many years. It is a true “learner’s book” made for students who require a deeper understanding of probability and statistics. It presents the fundamentals of the subject along with concepts of probabilistic modelling, and the process of model selection, verification and analysis. Furthermore, the inclusion of more than 100 examples and 200 exercises (carefully selected from a wide range of topics), along with a solutions manual for instructors, means that this text is of real value to students and lecturers across a range of engineering disciplines. Key features: Presents the fundamentals in probability and statistics along with relevant applications. Explains the concept of probabilistic modelling and the process of model selection, verification and analysis. Definitions and theorems are carefully stated and topics rigorously treated. Includes a chapter on regression analysis. Covers design of experiments. Demonstrates practical problem solving throughout the book with numerous examples and exercises purposely selected from a variety of engineering fields. Includes an accompanying online Solutions Manual for instructors containing complete step-by-step solutions to all problems.
Author: Herbert Puchta
Publisher: Cambridge University Press
ISBN: 0521179076
Category : Foreign Language Study
Languages : en
Pages : 129
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Book Description
This second edition updates a course which has proven to be a perfect fit for classes the world over. Engaging content and a strong focus on grammar and vocabulary combine to make this course a hit with both teachers and students. Popular course features have been refreshed with new content, including the imaginative reading and listening topics, 'Culture in Mind', and 'Everyday English' sections. New for the second edition is a DVD-ROM with the Level 1 Student's Book containing games, extra exercises and videos featuring the photostories' characters as well as a 'Videoke' record-yourself function. There is a full 'Vocabulary bank' at the back of the book which expands upon lexical sets learned in the units.
Author: Y. N. Singh
Publisher: New Age International
ISBN: 8122416675
Category : Mathematics
Languages : en
Pages : 24
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Book Description
The Interesting Feature Of This Book Is Its Organization And Structure. That Consists Of Systematizing Of The Definitions, Methods, And Results That Something Resembling A Theory. Simplicity, Clarity, And Precision Of Mathematical Language Makes Theoretical Topics More Appealing To The Readers Who Are Of Mathematical Or Non-Mathematical Background. For Quick References And Immediate Attentions3⁄4Concepts And Definitions, Methods And Theorems, And Key Notes Are Presented Through Highlighted Points From Beginning To End. Whenever, Necessary And Probable A Visual Approach Of Presentation Is Used. The Amalgamation Of Text And Figures Make Mathematical Rigors Easier To Understand. Each Chapter Begins With The Detailed Contents, Which Are Discussed Inside The Chapter And Conclude With A Summary Of The Material Covered In The Chapter. Summary Provides A Brief Overview Of All The Topics Covered In The Chapter. To Demonstrate The Principles Better, The Applicability Of The Concepts Discussed In Each Topic Are Illustrated By Several Examples Followed By The Practice Sets Or Exercises.
Author: M.V.S.S.N. Prasad
Publisher:
ISBN:
Category :
Languages : en
Pages : 99
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Book Description
Author: Dr T.K.V. Iyengar & Dr B. Krishna Gandhi & S. Ranganadham &
Dr M.V.S.S.N. Prasad
Publisher: S. Chand Publishing
ISBN: 9352838262
Category : Science
Languages : en
Pages : 512
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Book Description
In this book, how to solve such type equations has been elaborately described. In this book, vector differential calculus is considered, which extends the basic concepts of (ordinary) differential calculus, such as, continuity and differentiability to vector functions in a simple and natural way. This book comprises previous question papers problems at appropriate places and also previous GATE questions at the end of each chapter for the
Author: T. K. V. Iyengar, B. Krishna Gandhi, S. Ranganatham & M.V.S.S.N. Prasad
Publisher: S. Chand Publishing
ISBN: 9352838211
Category : Science
Languages : en
Pages : 904
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Book Description
Laplace Transforms, Numerical Methods & Complex Variables
Author: Ethem Alpaydin
Publisher: MIT Press
ISBN: 0262028182
Category : Computers
Languages : en
Pages : 639
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Book Description
Introduction -- Supervised learning -- Bayesian decision theory -- Parametric methods -- Multivariate methods -- Dimensionality reduction -- Clustering -- Nonparametric methods -- Decision trees -- Linear discrimination -- Multilayer perceptrons -- Local models -- Kernel machines -- Graphical models -- Brief contents -- Hidden markov models -- Bayesian estimation -- Combining multiple learners -- Reinforcement learning -- Design and analysis of machine learning experiments.
Author: Dr T.K.V. Iyengar & Dr B. Krishna Gandhi & S. Ranganadham &
Dr M.V.S.S.N. Prasad
Publisher: S. Chand Publishing
ISBN: 9352837487
Category : Science
Languages : en
Pages : 728
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Book Description
Probability and Statistics & Complex Variables
