Biomass Production and Efficient Utilization for Energy Generation, authored by N.S. Rathore and N.L. Panwar, provides comprehensive insights into the transformative power of biomass as a renewable energy source. This hardback volume simplifies complex statistical concepts and methodologies, making them accessible for effective analysis of large datasets that result from field experiments. With its seven meticulously structured chapters, readers gain foundational knowledge in biometrics and basic statistical analysis, essential for understanding advanced applications in biomass utilization. Essential topics covered include biogas technology, carbonization, pyrolysis, gasification, and biofuel production, providing practitioners, researchers, and academic professionals with the necessary tools to harness biomass for energy efficiently.
Key Features
Features | Description |
---|---|
Authors | N.S. Rathore & N.L. Panwar |
Format | Hardback |
Total Chapters | Seven |
Methodology Focus | Statistical equations and formulas |
Key Topics | Biometrics, energy applications, conversion technologies |
Target Audience | Researchers, professionals, and students in bioenergy |
Statistical Methods Covered | D2 statistics, cluster analysis, PCA, regression analysis |
Attributes | Description |
---|---|
ISBN | 978XXXXXX |
Pages | Xxx |
Publisher | XXXXXX |
Publication Date | 2023 |
Language | English |
Dimensions | XxXxX cm |
Key Words
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Brand: NIPA
Country of Origin: India
"The book aims to present complex statistical equations and formulas in a more accessible and simplified format, in order to facilitate the proper analysis of large datasets gathered through field experiments and the drawing of accurate conclusions from such data. The book is divided into seven chapters, with the first two chapters focusing on the development of biometrics and basic statistics, as a thorough understanding of the latter is crucial for grasping the former. The third chapter explores various methods for assessing variability within a population, including D2 statistics, Euclidean cluster analysis, and metroglyph analysis, although range, standard deviation, variance, and coefficient of variation are simpler statistics for this purpose. The fourth chapter delves into breeding methods, such as selection, heritability, and selection index. The fifth chapter examines aids in selection, including important topics like correlation, path analysis, regression analysis, cluster analysis, principal component analysis (PCA), and discriminant function analysis.
"The book aims to present complex statistical equations and formulas in a more accessible and simplified format, in order to facilitate the proper analysis of large datasets gathered through field experiments and the drawing of accurate conclusions from such data. The book is divided into seven chapters, with the first two chapters focusing on the development of biometrics and basic statistics, as a thorough understanding of the latter is crucial for grasping the former. The third chapter explores various methods for assessing variability within a population, including D2 statistics, Euclidean cluster analysis, and metroglyph analysis, although range, standard deviation, variance, and coefficient of variation are simpler statistics for this purpose. The fourth chapter delves into breeding methods, such as selection, heritability, and selection index. The fifth chapter examines aids in selection, including important topics like correlation, path analysis, regression analysis, cluster analysis, principal component analysis (PCA), and discriminant function analysis. The sixth chapter focuses on diallel analysis and generation mean analysis as additional aids in selection. Lastly, the seventh chapter discusses varietal adaptation, with a focus on stability analysis of a variety.
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Content
"1. Biomass- An Overview 2. Biomass Energy for Domestic Applications 3.Biogas Technology 4. Carbonisation of Biomass 5. Pyrolysis Process 6. Torrefaction of Biomass 7. Biomass Gasification Technology 8. Biodiesel Production 9.Bioethanol Production 10. Densification Technology
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