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Author: M. Kalpana
Publisher: New India Publishing Agency
ISBN: 9395319046
Category : Business & Economics
Languages : en
Pages : 14
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Book Description
The inclusive book on Agricultural Statistics, Mathematics, and Computer applications explains theoretical aspects and gives in-depth information on various concepts in a sequenced manner. This book consists of Agricultural Statistics, Mathematics and Computer Applications, and agricultural Economics. This book has also brought out multiple Choice Questions in each unit. Unit I – Agricultural Statistics deal with Definition, Frequency distribution Measures of central tendency- Mean, Median, Mode, Geometric mean, Harmonic mean, Measures of dispersion, Range, Quartile deviation, Mean deviation, Standard deviation, Variance, Probability, Conditional probability, Theorem of probability, Bayes theorem, Discrete probability distribution Continuous probability distribution, Distribution- Binomial distribution, Poison distribution, Normal distribution, Sampling methods, Theory of testing hypothesis, Correlation, Regression, Analysis of variance, Design of Experiment Unit II – Mathematics deals with Real and Complex Numbers, Set Theory, Matrices, Eigen values and Eigen vectors, Vectors, Differential Calculus, Integral Calculus, Beta and Gamma Functions, Double Integral, Ordinary Differential Equations, and Interpolation Unit III – Computer Applications deal with Input Devices, Output Devices, Memory, Hardware Software, Classification, Booting, computer Virus, Operating system, DOS commands, and Types of files Windows, MS Word, MS Excel, MS PowerPoint, MS Access, Computer Programming, Algorithm, Programming language, BASIC, FORTRAN, C language, and Bioinformatics. Unit IV – Agricultural Economics consists of principles of economics, Law of demand, factors of production, supply, Factor-Product relationship, Factor-Factor relationship, Product-Product relationship, Law of Equi-Marginal Returns, Cost concepts, Balance sheet, Type and Systems of farming, Farm budgeting, and Depreciation, Agricultural Marketing, market Classification, Marketed surplus, Price spread, market integration, Agricultural Finance includes Classification of credit, Nationalisation of Banks, Regional Rural Banks (RRB)
Author: M. Kalpana
Publisher: New India Publishing Agency
ISBN: 9395319046
Category : Business & Economics
Languages : en
Pages : 14
Get Book Here
Book Description
The inclusive book on Agricultural Statistics, Mathematics, and Computer applications explains theoretical aspects and gives in-depth information on various concepts in a sequenced manner. This book consists of Agricultural Statistics, Mathematics and Computer Applications, and agricultural Economics. This book has also brought out multiple Choice Questions in each unit. Unit I – Agricultural Statistics deal with Definition, Frequency distribution Measures of central tendency- Mean, Median, Mode, Geometric mean, Harmonic mean, Measures of dispersion, Range, Quartile deviation, Mean deviation, Standard deviation, Variance, Probability, Conditional probability, Theorem of probability, Bayes theorem, Discrete probability distribution Continuous probability distribution, Distribution- Binomial distribution, Poison distribution, Normal distribution, Sampling methods, Theory of testing hypothesis, Correlation, Regression, Analysis of variance, Design of Experiment Unit II – Mathematics deals with Real and Complex Numbers, Set Theory, Matrices, Eigen values and Eigen vectors, Vectors, Differential Calculus, Integral Calculus, Beta and Gamma Functions, Double Integral, Ordinary Differential Equations, and Interpolation Unit III – Computer Applications deal with Input Devices, Output Devices, Memory, Hardware Software, Classification, Booting, computer Virus, Operating system, DOS commands, and Types of files Windows, MS Word, MS Excel, MS PowerPoint, MS Access, Computer Programming, Algorithm, Programming language, BASIC, FORTRAN, C language, and Bioinformatics. Unit IV – Agricultural Economics consists of principles of economics, Law of demand, factors of production, supply, Factor-Product relationship, Factor-Factor relationship, Product-Product relationship, Law of Equi-Marginal Returns, Cost concepts, Balance sheet, Type and Systems of farming, Farm budgeting, and Depreciation, Agricultural Marketing, market Classification, Marketed surplus, Price spread, market integration, Agricultural Finance includes Classification of credit, Nationalisation of Banks, Regional Rural Banks (RRB)
Author: Kwanchai A. Gomez
Publisher: John Wiley & Sons
ISBN: 9780471870920
Category : Technology & Engineering
Languages : en
Pages : 698
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Book Description
Here in one easy-to-understand volume are the statistical procedures and techniques the agricultural researcher needs to know in order to design, implement, analyze, and interpret the results of most experiments with crops. Designed specifically for the non-statistician, this valuable guide focuses on the practical problems of the field researcher. Throughout, it emphasizes the use of statistics as a tool of research—one that will help pinpoint research problems and select remedial measures. Whenever possible, mathematical formulations and statistical jargon are avoided. Originally published by the International Rice Research Institute, this widely respected guide has been totally updated and much expanded in this Second Edition. It now features new chapters on the analysis of multi-observation data and experiments conducted over time and space. Also included is a chapter on experiments in farmers' fields, a subject of major concern in developing countries where agricultural research is commonly conducted outside experiment stations. Statistical Procedures for Agricultural Research, Second Edition will prove equally useful to students and professional researchers in all agricultural and biological disciplines. A wealth of examples of actual experiments help readers to choose the statistical method best suited for their needs, and enable even the most complicated procedures to be easily understood and directly applied. An International Rice Research Institute Book
Author: Pradeep Mishra
Publisher: CRC Press
ISBN: 0429758987
Category : Business & Economics
Languages : en
Pages : 526
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Book Description
An understanding of the basics, logic, and theory of statistics is essential for agricultural researchers for dealing with the interpretation of data. This volume presents some of the basic and necessary concepts of statistical tools, specifically as applied to the statistics of agriculture and allied fields. It covers basic statistics, design of experiments, sampling techniques, time series, inference outlines, forecasting models, data handling, and statistical software in an easy-to-understand manner that is aimed at students and researchers with little or no mathematical background. In the agriculture scenario, students and researchers face problems that can be addressed with statistical tools, planning of field experiments, collection of data, analysis, interpretation of the data, etc. In this book, statistical theories are discussed with the help of examples from real-life situations in agriculture and allied fields, followed by worked-out examples. Each chapter is followed by a number of problems and questions that will help readers gain confidence in solving those problems. The volume also provides an analysis of how data is important and introduces the reader to using statistical software such as MS Excel, SAS (Statistical Analysis System), JMP, Minitab, and R (from the R Foundation for Statistical Computing).
Author: Voice of America (Organization)
Publisher:
ISBN:
Category : Agriculture
Languages : en
Pages : 384
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Book Description
Author: Fozia Homa
Publisher: CRC Press
ISBN: 1000779122
Category : Mathematics
Languages : en
Pages : 266
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Book Description
This book provides a thorough understanding of distribution theory and data analysis using statistical software to solve problems related to basic statistics, probability models, and simulation. It presents a detailed explanation of different distribution concepts used in statistics along with their application in real-life situations. Covering the analytical aspects using the latest software, the volume discusses stochastic methods and other statistical methods. It provides an overview of statistical data analysis by taking actual situations and implementing open-source software R version 4.0 and Python 3.0+. A detailed study of the statistical models is also provided with examples related to health, agriculture, insurance, and other sectors.
Author: Ayodeji Olalekan Salau
Publisher: CRC Press
ISBN: 1000541754
Category : Computers
Languages : en
Pages : 287
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Book Description
This book presents futuristic trends in computational intelligence including algorithms as applicable to different application domains in health informatics covering bio-medical, bioinformatics, and biological sciences. Latest evolutionary approaches to solve optimization problems under biomedical engineering field are discussed. It provides conceptual framework with a focus on application of computational intelligence techniques in the domain of biomedical engineering and health informatics including real-time issues.
Author: Lothar Sachs
Publisher: Springer Science & Business Media
ISBN: 1461252466
Category : Mathematics
Languages : en
Pages : 737
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Book Description
This outline of statistics as an aid in decision making will introduce a reader with limited mathematical background to the most important modern statistical methods. This is a revised and enlarged version, with major extensions and additions, of my "Angewandte Statistik" (5th ed.), which has proved useful for research workers and for consulting statisticians. Applied statistics is at the same time a collection of applicable statistical methods and the application of these methods to measured and/or counted observations. Abstract mathematical concepts and derivations are avoided. Special emphasis is placed on the basic principles of statistical formulation, and on the explanation of the conditions under which a certain formula or a certain test is valid. Preference is given to consideration of the analysis of small sized samples and of distribution-free methods. As a text and reference this book is written for non-mathematicians, in particular for technicians, engineers, executives, students, physicians as well as researchers in other disciplines. It gives any mathematician interested in the practical uses of statistics a general account of the subject. Practical application is the main theme; thus an essential part of the book consists in the 440 fully worked-out numerical examples, some of which are very simple; the 57 exercises with solutions; a number of different compu tational aids; and an extensive bibliography and a very detailed index. In particular, a collection of 232 mathematical and mathematical-statistical tables serves to enable and to simplify the computations.
Author: Tai-Ran Hsu
Publisher: John Wiley & Sons
ISBN: 1119071208
Category : Technology & Engineering
Languages : en
Pages : 541
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Book Description
A resource book applying mathematics to solve engineering problems Applied Engineering Analysis is a concise textbookwhich demonstrates how toapply mathematics to solve engineering problems. It begins with an overview of engineering analysis and an introduction to mathematical modeling, followed by vector calculus, matrices and linear algebra, and applications of first and second order differential equations. Fourier series and Laplace transform are also covered, along with partial differential equations, numerical solutions to nonlinear and differential equations and an introduction to finite element analysis. The book also covers statistics with applications to design and statistical process controls. Drawing on the author's extensive industry and teaching experience, spanning 40 years, the book takes a pedagogical approach and includes examples, case studies and end of chapter problems. It is also accompanied by a website hosting a solutions manual and PowerPoint slides for instructors. Key features: Strong emphasis on deriving equations, not just solving given equations, for the solution of engineering problems. Examples and problems of a practical nature with illustrations to enhance student’s self-learning. Numerical methods and techniques, including finite element analysis. Includes coverage of statistical methods for probabilistic design analysis of structures and statistical process control (SPC). Applied Engineering Analysis is a resource book for engineering students and professionals to learn how to apply the mathematics experience and skills that they have already acquired to their engineering profession for innovation, problem solving, and decision making.
Author: Library of Congress
Publisher:
ISBN:
Category : Subject headings, Library of Congress
Languages : en
Pages : 1880
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Book Description
Author: Library of Congress. Cataloging Policy and Support Office
Publisher:
ISBN:
Category : Subject headings, Library of Congress
Languages : en
Pages : 1906
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Book Description
