1.

Record Nr.

UNINA9910465661103321

Titolo

Food protection and safety [[electronic resource] /] / Lyman F. Thomasson, editor

Pubbl/distr/stampa

New York, : Nova Science, c2009

ISBN

1-61209-738-3

Descrizione fisica

1 online resource (162 p.)

Altri autori (Persone)

ThomassonLyman F

Soggetti

Food - Safety measures - Government policy - United States

Food contamination - United States - Prevention

Foodborne diseases - United States - Prevention

Electronic books.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.



2.

Record Nr.

UNINA9910800166303321

Autore

Acevedo Miguel F.

Titolo

Data analysis and statistics for geography, environmental science, and engineering / / by Miguel F. Acevedo

Pubbl/distr/stampa

Boca Raton, FL : , : CRC Press, an imprint of Taylor and Francis, , 2012

ISBN

0-429-16914-0

Edizione

[1st edition]

Descrizione fisica

1 online resource (549 p.)

Disciplina

519.5

Soggetti

Geography - Data processing

Geography - Statistical methods

Environmental sciences - Data processing

Environmental sciences - Statistical methods

Engineering - Data processing

Engineering - Statistical methods

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Front Cover; Contents; Preface; Acknowledgments; Author; Chapter 1 - Introduction; Chapter 2 - Probability Theory; Chapter 3 - Random Variables, Distributions, Moments, and Statistics; Chapter 4 - Exploratory Analysis and Introduction to Inferential Statistics; Chapter 5 - More on Inferential Statistics: Goodness of Fit, Contingency Analysis, and Analysis of Variance; Chapter 6 - Regression; Chapter 7 - Stochastic or Random Processes and Time Series; Chapter 8 - Spatial Point Patterns; Chapter 9 - Matrices and Linear Algebra; Chapter 10 - Multivariate Models

Chapter 11 - Dependent Stochastic Processes and Time SeriesChapter 12 - Geostatistics: Kriging; Chapter 13 - Spatial Auto-Correlation and Auto-Regression; Chapter 14 - Multivariate Analysis I: Reducing Dimensionality; Chapter 15 - Multivariate Analysis II: Identifying and Developing Relationships among Observations and Variables; Bibliography; Back Cover

Sommario/riassunto

Providing a solid foundation for twenty-first-century scientists and engineers, Data Analysis and Statistics for Geography, Environmental Science, and Engineering guides readers in learning quantitative



methodology, including how to implement data analysis methods using open-source software. Given the importance of interdisciplinary work in sustainability, the book brings together principles of statistics and probability, multivariate analysis, and spatial analysis methods applicable across a variety of science and engineering disciplines.