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Probabilidad y estadística introductorias [OP]: aplicaciones para silvicultura y natu-

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Introductory Probability and Statistics [OP]: Applications for Forestry and Natu
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Características del artículo

Estado
En buen estado: Libro que se ha leído pero que está en buen estado. Daños mínimos en la tapa, ...
ISBN
9781780640518
Subject Area
Technology & Engineering, Mathematics
Publication Name
Introductory Probability and Statistics : Applications for Forestry and Natural Sciences
Publisher
CAbi
Item Length
9.6 in
Subject
Agriculture / Forestry, Probability & Statistics / General
Publication Year
2012
Type
Textbook
Format
Trade Paperback
Language
English
Item Height
0.9 in
Author
Robert A. Kozak, Antal Kozak, Christina L. Staudhammer, Susan B. Watts
Item Weight
33.2 Oz
Item Width
6.8 in
Number of Pages
448 Pages

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Product Information

With interest growing in areas of forestry, conservation and other natural sciences, the need to organize and tabulate large amounts of forestry and natural science information has become a necessary skill. Previous attempts of applying statistical methods to these areas tend to be over-specialized and of limited use; an elementary text using methods, examples and exercises that are relevant to forestry and the natural sciences is long overdue. This book utilises basic descriptive statistics and probability, as well as commonly used statistical inferential tools to introduce topics that are commonplace in a forestry context such as hypothesis texting, design of experiments, sampling methods, nonparametric tests and statistical quality control. It also contains examples and exercises drawn from the fields of forestry, wood science, and conservation.

Product Identifiers

Publisher
CAbi
ISBN-10
178064051x
ISBN-13
9781780640518
eBay Product ID (ePID)
28038827535

Product Key Features

Number of Pages
448 Pages
Language
English
Publication Name
Introductory Probability and Statistics : Applications for Forestry and Natural Sciences
Publication Year
2012
Subject
Agriculture / Forestry, Probability & Statistics / General
Type
Textbook
Subject Area
Technology & Engineering, Mathematics
Author
Robert A. Kozak, Antal Kozak, Christina L. Staudhammer, Susan B. Watts
Format
Trade Paperback

Dimensions

Item Height
0.9 in
Item Weight
33.2 Oz
Item Length
9.6 in
Item Width
6.8 in

Additional Product Features

Dewey Edition
23
Reviews
'This is a very welcome contribution to the literature in this field and is like to be a useful edition to forestry libraries.'
Illustrated
Yes
Dewey Decimal
519.20246349
Lc Classification Number
Sd387.S73i585 2012
Table of Content
1: STATISTICS AND DATA: What do Numbers have to do with Trees? 2: DESCRIPTIVE STATISTICS: Making Sense of Data 3: PROBABILITY: The Foundation of Statistics 4: RANDOM VARIABLES AND PROBABILITY DISTRIBUTIONS: Outcomes of Random Experiments 5: SOME DISCRETE PROBABILITY DISTRIBUTIONS: Describing Data that is Counted 6: CONTINUOUS DISTRIBUTIONS AND THE NORMAL DISTRIBUTION: Describing Data that is Measured 7: SAMPLING DISTRIBUTIONS: The Foundation of Inference 8: ESTIMATION: Determining the Value of Population Parameters 9: TESTS OF HYPOTHESES: Making Claims about Population Parameters 10: GOODNESS-OF-FIT AND TEST FOR INDEPENDENCE: Testing Distributions 11: REGRESSION AND CORRELATION: Relationships between Variables 12: ANALYSIS OF VARIANCE: Testing Differences between Several Means 13: SAMPLING METHODS AND DESIGN OF EXPERIMENTS: Collecting Data 14: NONPARAMETRIC TESTS: Testing when Distributions are Unknown 15: QUALITY CONTROL: Statistics for Production and Processing 1: STATISTICS AND DATA: What do Numbers have to do with Trees? 2: DESCRIPTIVE STATISTICS: Making Sense of Data 3: PROBABILITY: The Foundation of Statistics 4: RANDOM VARIABLES AND PROBABILITY DISTRIBUTIONS: Outcomes of Random Experiments 5: SOME DISCRETE PROBABILITY DISTRIBUTIONS: Describing Data that is Counted 6: CONTINUOUS DISTRIBUTIONS AND THE NORMAL DISTRIBUTION: Describing Data that is Measured 7: SAMPLING DISTRIBUTIONS: The Foundation of Inference 8: ESTIMATION: Determining the Value of Population Parameters 9: TESTS OF HYPOTHESES: Making Claims about Population Parameters 10: GOODNESS-OF-FIT AND TEST FOR INDEPENDENCE: Testing Distributions 11: REGRESSION AND CORRELATION: Relationships between Variables 12: ANALYSIS OF VARIANCE: Testing Differences between Several Means 13: SAMPLING METHODS AND DESIGN OF EXPERIMENTS: Collecting Data 14: NONPARAMETRIC TESTS: Testing when Distributions are Unknown 15: QUALITY CONTROL: Statistics for Production and Processing
Copyright Date
2012

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