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Federer, Walter Theodore:

Statistical Design and Analysis for Intercropping Experiments: Volume 1: Two Crops (Springer Series in Statistics) - hardcover

1993, ISBN: 0387979239

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Federer, Walter Theodore:

Statistical Design and Analysis for Intercropping Experiments: Volume 1: Two Crops (Springer Series in Statistics) - hardcover

1993, ISBN: 0387979239

[EAN: 9780387979236], Gebraucht, [PU: Springer Verlag], Buy with confidence! Book is in acceptable condition with wear to the pages, binding, and some marks within, Books

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Federer, Walter Theodore:
Statistical Design and Analysis for Intercropping Experiments: Volume 1: Two Crops (Springer Series in Statistics) - hardcover

1993

ISBN: 9780387979236

hardcover, Access codes and supplements are not guaranteed with used items. May be an ex-library book., Gebraucht, guter Zustand, [PU: Springer Verlag]

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FEDERER, WALTER T.,:
STATISTICAL DESIGN AND ANALYSIS FOR INTERCROPPING EXPERIMENTS - Paperback

ISBN: 9780387979236

Springer, 1993. 1st. Paperback. New/New., Springer, 1993, 6

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Federer, Walter T.,:
Statistical Design And Analysis For Intercropping Experiments - Paperback

ISBN: 9780387979236

Springer, 1993. 1st. Paperback. New., Springer, 1993, 6

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Statistical Design and Analysis for Intercropping Experiments: Volume 1: Two Crops (Springer Series in Statistics)

Authoritative, reader-friendly, and application-oriented, this introduction to management focuses on those concepts and theories that make a difference in real situations, illustrates how these concepts, frameworks and theories can be applied, and encourages readers to think continually about what they are reading as though they were managers. Exceptionally applied in focus, the book features extensive and varied detailed examples that convey the complexity and interrelationships of real managerial situations. Provides strong, integrated coverage of the global dimensions of management, and extensive coverage of diversity and cultural differences, and their implications for management in the 21st century. ENVIRONMENTAL CONTEXT OF MANAGING. Assessing External Environments. Managing within Cultural Contexts. Managerial Ethics and Social Responsibility. Managing Innovation and Entrepreneurship. PLANNING AND DECISION MAKING. Planning. Strategic Management. Individual and Group Decision Making. ORGANIZING AND STAFFING. Organizational Structure and Design. Groups and Teams. Human Resource Management. LEADING. Motivation. Leadership. Communication and Negotiation. MONITORING AND EVALUATING. Control. Operations Management. Information Technology Management. TRANSFORMING. Organizational Change and Renewal. For practicing and aspiring managers.

Details of the book - Statistical Design and Analysis for Intercropping Experiments: Volume 1: Two Crops (Springer Series in Statistics)


EAN (ISBN-13): 9780387979236
ISBN (ISBN-10): 0387979239
Hardcover
Paperback
Publishing year: 1993
Publisher: Springer

Book in our database since 2007-06-06T07:41:51-04:00 (New York)
Detail page last modified on 2023-09-15T03:24:49-04:00 (New York)
ISBN/EAN: 9780387979236

ISBN - alternate spelling:
0-387-97923-9, 978-0-387-97923-6
Alternate spelling and related search-keywords:
Book author: federer, walter
Book title: principles neurosurgery, design and analysis experiments, neurosurgery for, experimental statistics, pediatric neurosurgery, the design experiments, springer series


Information from Publisher

Author: Walter T. Federer
Title: Springer Series in Statistics; Statistical Design and Analysis for Intercropping Experiments - Volume 1: Two Crops
Publisher: Springer; Springer US
298 Pages
Publishing year: 1993-02-24
New York; NY; US
Weight: 0,620 kg
Language: English
85,55 € (DE)
87,95 € (AT)
106,60 CHF (CH)
Not available, publisher indicates OP

BB; Book; Hardcover, Softcover / Medizin/Allgemeines; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; soil; techniques; field; design; Statistica; agriculture; statistics; proving; estimator; themes; multivariate statistics; A; Mathematics and Statistics; Statistics for Life Sciences, Medicine, Health Sciences; Agriculture; Geometry; Epidemiologie und medizinische Statistik; Agrarwissenschaften; Geometrie; BC; EA

1 Introduction and Definitions.- 1.1. Introduction and Objectives.- 1.2. Statistical Design.- 1.3. Types of Treatment.- 1.4. Treatment Designs in Category 4 for Intercropping Experiments.- 1.5. Some Statistical Problems Associated with Response Model Equations, Statistical Analyses, and Inferences.- 1.6. Some Concepts and Definitions.- 1.7. Literature Cited.- 2 One Main Crop Grown with a Supplementary Crop.- 2.1. Objectives and Introduction.- 2.2. Some Examples of Main Crops Grown with a Supplemental Crop.- 2.3. Statistical Designs and Univariate Analyses of Main Crop Yields for Experiments on Main and Supplemental Crops.- 2.4. Some Additional Statistical Analyses for Yields of Main Crop Intercropped with a Supplemental Crop.- 2.5. Multivariate Analyses for a Main Crop Grown with Supplemental Crops and Grown as a Sole Crop.- 2.6. Summary and Discussion.- 2.7. Problems.- 2.8. Literature Cited.- 3 Both Crops Main Crops—Density Constant—Analyses for Each Crop Separately.- 3.1. Objectives and Introduction.- 3.2. Treatment and Experiment Designs.- 3.3. Univariate Analyses on Observed Variables for Each of the Two Main Crops.- 3.4. Multivariate Analyses on a Vector of Observed Variables of One Crop.- 3.5. Summary and Discussion.- 3.6. Problems.- 3.7. Literature Cited.- 4 Both Crops Main Crops—Density Constant—Combined Crop Responses.- 4.1. Objectives and Introduction.- 4.2. Univariate Analyses on Functions of Combined Variables of Both Crops.- 4.3. Land Equivalent Ratio or Relative Yield Total.- 4.4. Multivariate Analysis on an Observation Vector of the Intercropping Systems.- 4.5. Effect of Varying Proportions on Created Functions.- 4.6. Summary and Discussion.- 4.7. Problems.- 4.8. Literature Cited.- Appendix 4.1.- 5 Both Crops of Major Interest with Varying Densities.- 5.1. Objectives and Introduction.- 5.2. Treatment Design and Statistical Analysis for Comparisons Among Density Combinations for Individual Crop Responses.- 5.3. Statistical Analyses for Responses from Both Crops for a Single Pair of Crops at Varying Densities.- 5.4. Models and Analyses for Monocultures and Mixtures of Two Crops over a Range of Densities.- 5.5. Analyses for c1 Lines of Crop 1 and c2 Lines of Crop 2.- 5.6. Summary and Discussion.- 5.7. Problems.- 5.8. Literature Cited.- Appendix 5.1. Derivation of Parameter Estimates and Their Variances Using a Generalized Least Squares Method for the Linear Model of Section 5.4 (Prepared by Anila Wijesinha).- Appendix 5.2. Distribution of Estimators and Hypothesis Tests (Prepared by Anila Wijesinha).- 6 Monocultures and Their Pairwise Combinations when Responses Are Available for Each Member of the Combination.- 6.1. Introduction.- 6.2. Treatment Design.- 6.3. A Response Model and Some Statistical Analyses.- 6.4. Summary and Discussion.- 6.5. Problems.- 6.6. Literature Cited.- Appendix 6.1.- Appendix 6.2.- 7 Monocultures and Their Pairwise Combinations when Separate Crop Responses Are Not Available.- 7.1. Introduction.- 7.2. Treatment Designs.- 7.3. Response Model Equations and Some Statistical Analyses.- 7.4. Response Models for a Crop Competition Experiment.- 7.5. Summary and Discussion.- 7.6. Problems.- 7.7. Literature Cited.- Appendix 7.1. Derivation of Solutions for Response Model for Design 3.- Appendix 7.2. Derivation of Solutions and Variances for Model 4, Example 7.5.- 8 Spatial and Density Arrangements.- 8.1. Introduction.- 8.2. Spatial Arrangements—Density Constant.- 8.3. Spatial Arrangements—Density Variable.- 8.4. Statistical Analyses for the Arrangements in Section 8.3.- 8.5. Summary and Discussion.- 8.6. Problems.- 8.7. Literature Cited.- 9 Some Analytical Variations for Intercropping Studies.- 9.1. Introduction.- 9.2. Replacement Series.- 9.3. Other Indices.- 9.4. Linear Programming.- 9.5. Summary and Discussion.- 9.6. Problems.- 9.7. Literature Cited.- 10 Experiment Designs for Intercropping Experiments.- 10.1. Introduction.- 10.2. Principles of Design of Experiments.- 10.3. Zero-Way Elimination of Heterogeneity.- 10.4. One-Way Elimination of Heterogeneity.- 10.5. Two-Way Elimination of Heterogeneity.- 10.6. Split Plot and Split Block Designs.- 10.7. More Complex Experiment Designs.- 10.8. Plot Technique.- 10.9. Stability Concepts and Parsimonious Experiment Design.- 10.10. Problems.- 10.11. Literature Cited.
This textbook provides a comprehensive survey of design and analysis of experiments for intercropping experiments. Its main themes are that techniques such as relative indices make it possible to cover a wide variety of conditions, and that statistical models for density-yield relations enable recommendations to be made to growers of crops.

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