LEADER 00000cam a22006978i 4500 
001    ocn948669433 
003    OCoLC 
005    20180130100857.2 
006    m     o  d         
007    cr ||||||||||| 
008    160502s2016    nyu     ob    001 0 eng   
010      2016017775 
020    9781634848947|q(electronic book) 
020    1634848942|q(electronic book) 
020    |z9781634848763|q(hardcover) 
020    |z1634848764 
035    (OCoLC)948669433 
040    DLC|beng|erda|cDLC|dOCLCO|dOCLCF|dOCLCO|dN$T|dOCLCO|dYDXCP
       |dCOO|dEBLCP 
042    pcc 
049    RIDW 
050 10 QH541.15.M3 
072  7 NAT|x010000|2bisacsh 
072  7 NAT|x045040|2bisacsh 
072  7 SCI|x026000|2bisacsh 
072  7 SCI|x020000|2bisacsh 
082 00 577.01/51|223 
090    QH541.15.M3 
245 00 Case applications of statistical models in ecology and 
       evolution /|cYouhua Chen (University of Alberta, Edmonton,
       Canada), editor. 
263    1606 
264  1 Hauppauge, New York :|bNova Science Publishers, Inc.,
       |c[2016] 
300    1 online resource. 
336    text|2rdacontent 
337    computer|2rdamedia 
338    online resource|2rdacarrier 
347    text file|2rdaft 
490 0  Science, evolution, and creationism 
504    Includes bibliographical references and index. 
505 0  CASE APPLICATIONS OF STATISTICAL MODELS IN ECOLOGY AND 
       EVOLUTION ; CASE APPLICATIONS OF STATISTICAL MODELS IN 
       ECOLOGY AND EVOLUTION ; CONTENTS ; PREFACE ; PART 1: CASE 
       APPLICATIONS ; Chapter 1 PERMUTATION-FREE FISHER'S Z-
       TRANSFORM METHOD FOR SIGNIFICANCE TESTING OF MANTEL'S 
       STATISTIC ; Abstract; Introduction; Materials and Methods;
       Mantel Test; Permutation Test; Numerical Simulations; 
       Results and Discussion; Acknowledgments; References 
505 8  Chapter 2 RANDOM SPECIES/POPULATION CHANGE AND MULTIPLE-
       SITE BETA DIVERSITY INDICES: A COMPARISON OF CONTRADICTORY
       SCENARIOS FROM SIMULATION- AND EMPIRICAL BCI TREE-DERIVED 
       DATA SETS Abstract; Introduction; Materials and Methods; 
       Partitioning of Community Beta-Diversity; Community 
       Turnover; Community Nestedness; Community WNODF Index; 
       Community Replacement; Community Richness Differences; 
       Simulation Study; Random Matrix Construction; Random 
       Species/Population Changes; An Empirical Test Using BCI 
       Tree Communities; Distribution of BCI Trees in 100 
       Sampling Plots; Results 
505 8  Comparison of Different Indices Along with Population 
       Changes in the Pseudo-CommunitiesSimulation of BCI Tree 
       Community; Discussion; References; Chapter 3 ON THE 
       RELATIONSHIP BETWEEN COMMUNITY-LEVEL BETA DIVERSITY AND 
       PARTITIONING VARIATION FOR SPACE AND ENVIRONMENT: BCI TREE
       COMMUNITY AS A CASE STUDY ; Abstract; Introduction; 
       Materials and Methods; Methods for Variation Partitioning;
       Assessment the Influence of Community Change on Variation 
       Partitioning; Species Rarity versus Commonness; Community 
       Turnover; Community Nestedness; Community Replacement; 
       Community Richness Difference 
505 8  Pseudo-Human Disturbance ExperimentsDistribution of BCI 
       Trees in 98 Sampling Plots; Results; Effect of Different 
       Species Handling Methods on Variation Partitioning; Effect
       of Different Species Handling Methods on Community 
       Turnover and Nestedness; Effects of Different Species 
       Handling Methods on Community Replacement and Richness 
       Differences; Discussion; Turnover versus Nestedness and 
       Replacement versus Richness Difference; Change of Rarity 
       during Species Handling Procedures; Comparison of 
       Variation Partitioning Using Mantel Test and CCA; 
       References 
505 8  Chapter 4 DISTINGUISHING NICHE AND NEUTRAL PROCESSES: 
       ISSUES IN VARIATION PARTITIONING STATISTICAL METHODS AND 
       FURTHER PERSPECTIVES Abstract; Introduction; Variation 
       Decomposition in Community Ecology; How Is Variation 
       Partitioning Related to the Debate between Niche and 
       Neutral Processes?; How to Perform Variation 
       Partitioning?; Literature Searching and Study 
       Classification; A Review of Current Methods and Possible 
       Problems; Potential Methods; General Additive Model (GAM) 
       and Relevant Nonlinear Smoothing Methods; Implications and
       Further Perspectives 
588    Description based on print version record and CIP data 
       provided by publisher; resource not viewed. 
590    eBooks on EBSCOhost|bEBSCO eBook Subscription Academic 
       Collection - North America 
650  0 Ecology|xMathematical models.|0https://id.loc.gov/
       authorities/subjects/sh2008102528 
650  0 Evolution (Biology)|xMathematical models.|0https://
       id.loc.gov/authorities/subjects/sh2008118585 
650  0 Biogeography|0https://id.loc.gov/authorities/subjects/
       sh85014147|xMathematical models.|0https://id.loc.gov/
       authorities/subjects/sh2002007921 
650  7 Ecology|xMathematical models.|2fast|0https://
       id.worldcat.org/fast/901509 
650  7 Evolution (Biology)|xMathematical models.|2fast|0https://
       id.worldcat.org/fast/917308 
650  7 Biogeography|xMathematical models.|2fast|0https://
       id.worldcat.org/fast/832101 
650  7 Biogeography.|2fast|0https://id.worldcat.org/fast/832095 
655  4 Electronic books. 
700 1  Chen, Youhua|c(Biologist),|0https://id.loc.gov/authorities
       /names/no2014131261|eeditor. 
776 08 |iPrint version:|tCase applications of statistical models 
       in ecology and evolution|dHauppauge, New York : Nova 
       Science Publishers, Inc., [2016]|z9781634848763|w(DLC)  
       2016007432 
856 40 |uhttps://rider.idm.oclc.org/login?url=http://
       search.ebscohost.com/login.aspx?direct=true&scope=site&
       db=nlebk&AN=1258667|zOnline eBook. Access restricted to 
       current Rider University students, faculty, and staff. 
856 42 |3Instructions for reading/downloading the EBSCO version 
       of this eBook|uhttp://guides.rider.edu/ebooks/ebsco 
901    MARCIVE 20231220 
948    |d20180209|cEBSCO|tEBSCOebooksacademic NEW 1-29-18|lridw 
994    92|bRID