000			02358nam a2200349 4500
001			OTLid0000205
003			MnU
005			20201105133305.0
006			m o d s
008			180907s2014 mnu o 0 0 eng d
020			_a9781942341178
040			_aMnU _beng _cMnU
050		4	_aQH301
100	1		_aKiernan, Diane _eauthor
245	0	0	_aNatural Resources Biometrics _cDiane Kiernan
264		2	_bOpen Textbook Library
264		1	_bOpen SUNY
300			_a1 online resource
490	0		_aOpen textbook library.
505	0		_aChapter 1: Descriptive Statistics and the Normal Distribution -- Chapter 2: Sampling Distributions and Confidence Intervals -- Chapter 3: Hypothesis Testing -- Chapter 4: Inferences about the Differences of Two Populations -- Chapter 5: One-way Analysis of Variance -- Chapter 6: Two-way Analysis of Variance -- Chapter 7: Correlation and Simple Linear Regression -- Chapter 8: Multiple Linear Regression -- Chapter 9: Modeling Growth, Yield, and Site Index -- Chapter 10: Quantitative Measures of Diversity, Site Similarity, and Habitat Suitability
520	0		_aNatural Resources Biometrics begins with a review of descriptive statistics, estimation, and hypothesis testing. The following chapters cover one- and two-way analysis of variance (ANOVA), including multiple comparison methods and interaction assessment, with a strong emphasis on application and interpretation. Simple and multiple linear regressions in a natural resource setting are covered in the next chapters, focusing on correlation, model fitting, residual analysis, and confidence and prediction intervals. The final chapters cover growth and yield models, volume and biomass equations, site index curves, competition indices, importance values, and measures of species diversity, association, and community similarity.
542	1		_fAttribution-NonCommercial-ShareAlike
546			_aIn English.
588	0		_aDescription based on print resource
650		0	_aScience _vTextbooks
710	2		_aOpen Textbook Library _edistributor
856	4	0	_uhttps://open.umn.edu/opentextbooks/textbooks/205 _zAccess online version
999			_c19613 _d19613