Probability And Statistics Jntu Kakinada Second Year Second Semester Cse It R20
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Probability and Statistics (JNTU Kakinada . Second Year Second Semester) (CSE/IT-R20) by Dr T.K.V. Iyengar,Dr B. Krishna Gandhi,S. Ranganadham &
Dr. M.V.S.S.N. Prasad Pdf
" Probability and Statistics " is written strictly according to the revised syllabus 2020-21 (R20) of B. Tech 2 year (Second semester) C.S.E. and Allied Branches of CSE students of Jawaharlal Nehru Technological University, Kakinada. It covers Descriptive Statistics and Methods for Data Science, Correlation and Curve Fitting, Probability and Distributions, Sampling Theory, Tests of Hypothesis and tend to enclose Previous Question Paper issues at suitable places and conjointly Previous GATE Questions at the end of every chapter for the benefit of the students.
Complex Variables and Statistical Methods: for B.Tech. Second Year EEE (First Semester) and Civil, Mechanical (Second Semester) Students of JNTU, Kakinada. by Dr. T.K.V. Iyengar, Dr. M.V.S.S.N. PRASAD, S. RANGANATHAM & DR. B. KRISHNA GANDHI Pdf
"Complex Variables and Statistical Methods" is written strictly according to the revised syllabus (R20) of B.Tech Second year (First Semester) EEE and Second year (Second Semester) Civil and Mechanical students of Jawaharlal Nehru Technological University, Kakinada. It covers ';Functions of A Complex Variable and Complex Integration', ';Probability and Distributions', ';Sampling Distributions', and ';Test of Hypothesis and Significance' with Previous GATE Questions at the end of every chapter for the benefit of the students.
Probability and Statistics by Dr T.K.V. Iyengar & Dr B. Krishna Gandhi & S. Ranganadham &
Dr M.V.S.S.N. Prasad Pdf
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
Probability and Statistics by E. Rukmangadachari,E. Reddy Pdf
This book is designed for engineering students studying for the core paper on probability and statistics. The topics have been dealt in a coherent manner, supported by illustrations for better compre¬hension. Each chapter is replete with examples and exercises. The book also has numerous Multiple Choice Questions at the end of each chapter, thus providing the student with an abundant repository of exam specific problems.
PROBABILITY AND STATISTICS FOR ENGINEERS by Dr. J. Ravichandran Pdf
Special Features: · Discusses all important topics in 15 well-organized chapters.· Highlights a set of learning goals in the beginning of all chapters.· Substantiate all theories with solved examples to understand the topics.· Provides vast collections of problems and MCQs based on exam papers.· Lists all important formulas and definitions in tables in chapter summaries.· Explains Process Capability and Six Sigma metrics coupled with Statistical Quality Control in a full dedicated chapter.· Presents all important statistical tables in 7 appendixes. · Includes excellent pedagogy:- 177 figures- 69 tables- 210 solved examples - 248 problem with answers- 164 MCQs with answers About The Book: Probability and Statistics for Engineers is written for undergraduate students of engineering and physical sciences. Besides the students of B.E. and B.Tech., those pursuing MCA and MCS can also find the book useful. The book is equally useful to six sigma practitioners in industries.A comprehensive yet concise, the text is well-organized in 15 chapters that can be covered in a one-semester course in probability and statistics. Designed to meet the requirement of engineering students, the text covers all important topics, emphasizing basic engineering and science applications. Assuming the knowledge of elementary calculus, all solved examples are real-time, well-chosen, self-explanatory and graphically illustrated that help students understand the concepts of each topic. Exercise problems and MCQs are given with answers. This will help students well prepare for their exams.
Fundamentals of Mathematical Statistics by S.C. Gupta,V.K. Kapoor Pdf
Knowledge updating is a never-ending process and so should be the revision of an effective textbook. The book originally written fifty years ago has, during the intervening period, been revised and reprinted several times. The authors have, however, been thinking, for the last few years that the book needed not only a thorough revision but rather a substantial rewriting. They now take great pleasure in presenting to the readers the twelfth, thoroughly revised and enlarged, Golden Jubilee edition of the book. The subject-matter in the entire book has been re-written in the light of numerous criticisms and suggestions received from the users of the earlier editions in India and abroad. The basis of this revision has been the emergence of new literature on the subject, the constructive feedback from students and teaching fraternity, as well as those changes that have been made in the syllabi and/or the pattern of examination papers of numerous universities. Knowledge updating is a never-ending process and so should be the revision of an effective textbook. The book originally written fifty years ago has, during the intervening period, been revised and reprinted several times. The authors have, however, been thinking, for the last few years that the book needed not only a thorough revision but rather a substantial rewriting. They now take great pleasure in presenting to the readers the twelfth, thoroughly revised and enlarged, Golden Jubilee edition of the book. The subject-matter in the entire book has been re-written in the light of numerous criticisms and suggestions received from the users of the earlier editions in India and abroad. The basis of this revision has been the emergence of new literature on the subject, the constructive feedback from students and teaching fraternity, as well as those changes that have been made in the syllabi and/or the pattern of examination papers of numerous universities. Knowledge updating is a never-ending process and so should be the revision of an effective textbook. The book originally written fifty years ago has, during the intervening period, been revised and reprinted several times. The authors have, however, been thinking, for the last few years that the book needed not only a thorough revision but rather a substantial rewriting. They now take great pleasure in presenting to the readers the twelfth, thoroughly revised and enlarged, Golden Jubilee edition of the book. The subject-matter in the entire book has been re-written in the light of numerous criticisms and suggestions received from the users of the earlier editions in India and abroad. The basis of this revision has been the emergence of new literature on the subject, the constructive feedback from students and teaching fraternity, as well as those changes that have been made in the syllabi and/or the pattern of examination papers of numerous universities. Some prominent additions are given below: 1. Variance of Degenerate Random Variable 2. Approximate Expression for Expectation and Variance 3. Lyapounov’s Inequality 4. Holder’s Inequality 5. Minkowski’s Inequality 6. Double Expectation Rule or Double-E Rule and many others
Engineering Mathematics - I [JNTU Anantapur] by TKV Iyengar et al. Pdf
This is the sixteenth edition of the book Engineering Mathematics-I. The earlier editions have received positive response from the teachers and the students. This textbook has been written conferring to the revised syllabus (R19) of first year (First Semester) of B. Tech students of JNTU, Anantapur. In this edition some topics have been updated. The previous question paper problems have been included at appropriate places. For the benefit of the students, the previous GATE questions have been included at the end of each chapter. The topics has been made as simple as possible and in some instances detailed explanation
Differential Equations and Vector Calculus by Dr T.K.V. Iyengar & Dr B. Krishna Gandhi & S. Ranganadham &
Dr M.V.S.S.N. Prasad Pdf
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
Applied Statistics for Engineers and Physical Scientists by Robert V. Hogg,Johannes Ledolter Pdf
"Written by two of the leading figures in statistics, this highly regarded volume thoroughly addresses the full range of required topics." provides early discussed fundamental concepts such as variability, graphical representation of data, and randomization and blocking in design of experiments. provides a thorough introduction to descriptive statistics, including the importance of understanding variability, representation of data, exploratory data analysis, and time-sequence plots. explores principles of probability, probability distributions, and sampling distribution theory. discusses regression, design of experiments and their analysis, including factorial and fractional factorial designs.
Reinforcement Learning, second edition by Richard S. Sutton,Andrew G. Barto Pdf
The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.
Mathematical Foundation of Computer Science by Y. N. Singh Pdf
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.
Data Analysis Using SQL and Excel by Gordon S. Linoff Pdf
Useful business analysis requires you to effectively transform data into actionable information. This book helps you use SQL and Excel to extract business information from relational databases and use that data to define business dimensions, store transactions about customers, produce results, and more. Each chapter explains when and why to perform a particular type of business analysis in order to obtain useful results, how to design and perform the analysis using SQL and Excel, and what the results should look like.
Probability, Random Variables, and Stochastic Processes by Athanasios Papoulis,S. Unnikrishna Pillai Pdf
The fourth edition of Probability, Random Variables and Stochastic Processes has been updated significantly from the previous edition, and it now includes co-author S. Unnikrishna Pillai of Polytechnic University. The book is intended for a senior/graduate level course in probability and is aimed at students in electrical engineering, math, and physics departments. The authors' approach is to develop the subject of probability theory and stochastic processes as a deductive discipline and to illustrate the theory with basic applications of engineering interest. Approximately 1/3 of the text is new material--this material maintains the style and spirit of previous editions. In order to bridge the gap between concepts and applications, a number of additional examples have been added for further clarity, as well as several new topics.
