Introduction to General, Organic, and Biochemistry, Ninth Edition Binder Ready

by Morris Hein (Mount San Antonio College); Scott Pattison (Ball State University); Susan Arena (University of Illinois, Urbana-Champaign); Leo R. Best (Mount San Antonio College)

Edition: 9th

ISBN13: 9780470392249

ISBN10: 047039224X

Format: Paperback

Pub. Date: 2008-04-01

Publisher(s): Wiley

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Summary

Intended for use in the two-term, freshman-level General, Organic, and Biochemistry course taken by Allied Health students, the Ninth Edition of this widely adopted text includes improved explanations, updated materials, cutting-edge developments, emerging technologies, and revisions to the popular Chemistry in Action sections. Hein, Pattison, Best, and Arena is a market-proven text that provides the most comprehensive coverage of general, organic, and biochemistry available at this level. Experienced authors, Hein, Pattison, Best, and Arena, recognize that both science and mathematics can be daunting subjects to students. They skillfully anticipate areas of difficulty and pace the text accordingly. Particular emphasis is placed on the understanding of how chemical principles relate to their lives and future careers. The authors focus on problem solving over rote memorization and provide a variety of exercises to aid in the development of this essential skill. While the authors have revised and updated sections on inorganic and organic chemistry throughout the text, they particularly focused on incorporating many of the recent developments in biochemistry.

The Present state of agricultural statistics in developed countries, situation and challenges
Introduction
Current State and Political and Methodological Context
Governance and Horizontal Issues
Development in Demands for Agricultural Statistics and Challenges
Conclusions
Census, frames, registers and administrative data
Using Administrative Registers for Agricultural Statistics
Introduction
Registers, Register Systems and Methodological Issues
Using Registers for Agricultural Statistics
Creating a Farm Register-the Population
Creating a Farm Register-the Statistical Units
Creating a Farm Register-the Variables
Conclusions
Bibliography
Alternative Sampling Frames and Administrative Data. Which is the Best Data
Source for Agricultural Statistics?
Introduction
Administrative Data
Administrative Data versus Sample Surveys
Direct Tabulation of Administrative Data
Errors in administrative registers
Errors in Administrative Data
Alternatives to Direct Tabulation
Calibration and Small Area Estimators
Combined Use of Different Frames
Area Frames
Conclusions
Bibliography
Statistical Aspects of a Census
Introduction
Frame
Sampling
Non-sampling Error
Post Collection Processing
Weighting
Modeling
Disclosure Avoidance
Dissemination
Conclusions
Bibliography
Using Administrative Data for Census Coverage
Introduction
Statistics Canada's Agriculture Statistics Program
1996 Census
Strategy to Add Farms to the Farm Register
2001 Census
2006 Census
Towards the 2011 Census
Conclusions
Bibliography
Sample design, weighting, and estimation
Area Sampling for Small-Scale Economic Units
Introduction
Similarities and Differences from Household Survey Design
Description of the Basic Design
Evaluation Criterion: the Effect of Weights on Sampling Precision
Constructing and Using 'Strata of Concentration' (StrCon)
Numerical Illustrations and More Flexible Models
Conclusions
Bibliography
On the Use of Auxiliary Variables in Agricultural Surveys Design
Introduction
Stratification
Probability Proportional to Size Sampling
Balanced Sampling
Calibration weighting
Combining ex ante and ex post auxiliary information: a simulated approach
Conclusions
Bibliography
Estimation with Inadequate Frames
Introduction
Estimation Procedure
Bibliography
Small Area Estimation with Applications to Agriculture
Introduction
Design Issues
Synthetic and Composite Estimates
Area Level Models
Unit Level Models
Conclusions
Bibliography
GIS and remote sensing
The European Land Use and Cover Area-Frame Statistical Survey (LUCAS)
Introduction
Integrating Agricultural and Environmental Information with LUCAS
LUCAS 2001-2003: Target Region, Sample Design and Results
The Transect Survey in LUCAS 2001-2003
LUCAS 2006: A Two-phase Sampling Plan of Unclustered Points
Stratified Systematic Sampling with a Common Pattern of Replicates
GroundWork and Check Survey
Variance Estimation and Some Results in LUCAS 2006
Relative Efficiency of the LUCAS 2006 Sampling Plan
Expected Accuracy of Area Estimates with the LUCAS 2006 Scheme
Non-sampling Errors in LUCAS 2006
Conclusions
Bibliography
Area Frame Design for Agricultural Surveys
Introduction
Pre-Construction Analysis
Land-Use Stratification
Sub-Stratification
Replicated Sampling
Sample Allocation
Selection Probabilities
Sample Selection
Sample Rotation
Sample Estimation
Conclusions
Bibliography
Accuracy, Objectivity and Efficiency of Remote Sensing for Agricultural
Statistics
Introduction
Satellites and Sensors
Accuracy, objectivity and cost-efficiency
Main approaches to use EO for crop area estimation
Bias and subjectivity in pixel counting
Simple correction of bias with a confusion matrix
Calibration and regression estimators
Some examples of Crop area estimation with remote sensing in large regions
The GEOSS best practices document on EO for crop area estimation
Sub-pixel analysis
Accuracy assessment of classified images and land cover maps
General data and methods for yield estimation
Forecasting yields
Satellite images and vegetation indices for yield monitoring
Some examples of Crop yield estimation / forecasting with remote sensing
Bibliography
Estimation of Land Cover ParametersWhen Some Covariates Are Missing
Introduction
The AGRIT Survey
Imputation of the Missing Auxiliary Variables
Analysis of the 2006 AGRIT data
Conclusions
Bibliography
Data editing and quality assurance
A Generalized Edit and Analysis System for Agricultural Data
Introduction
The System Development
Analysis
Development Status
Conclusions
Bibliography
Statistical Data Editing for Agricultural Surveys
Introduction
Edit Rules
The Role of Automatic Editing in the Editing Process
Selective Editing
An Overview of Automatic Editing
Automatic Editing of Systematic Errors
The Fellegi-Holt Paradigm
Algorithms for Automatic Error Localization of Random Errors
Conclusions
Bibliography
Quality in Agricultural Statistics
Introduction
Changing Concepts of Quality
Assuring Quality
Conclusions
Bibliography
Statistics Canada's Quality Assurance Framework Applied to Agricultural
Statistics
Introduction
Evolution of Agriculture Industry Structure and User Needs
Agriculture Statistics - A Centralized Approach
Quality Assurance Framework
Managing Quality
Quality Management Assessment
Conclusions
Bibliography
Data dissemination and survey data analysis
The DataWarehouse: A Modern System forManaging Data
Introduction
The Data Situation in NASS
What is a Data Warehouse?
How Does it Work?
What We Learned
What is in Store for the Future?
Conclusions
Data Access and Dissemination: Some Experiments During the First
Agricultural Census in China
Introduction
Data Access and Dissemination
SDA General Characteristics
A Sample Session Using SDA
Conclusions
Bibliography
Analysis of Economic Data Collected in Farm Surveys
Introduction
Requirements of Sample Surveys for Economic Analysis
Typical Contents of a Farm Economic Survey
Issues in Statistical Analysis of Farm Survey Data
Issues in EconomicModelling Using Farm Survey Data
Case Studies
Bibliography
Measuring Household Resilience To Food Insecurity: Application To Palestinian
Households
Introduction
The Concept of Resilience and its Relation to Household Food Security
From Concept to Measurement
Empirical Strategy
Testing Resilience Measurement
Conclusions
Bibliography
Spatial Prediction of Agricultural Crop Yield
Introduction
The Proposed Approach
Case Study: the Province of Foggia
Conclusions
Bibliography
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