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M. Ezekiel, K. Fox (1960)
Methods of Correlation and Regression Analysis.Biometrika, 47
G. Snedecor (1967)
STATISTICAL METHODSActa Pædiatrica, 56
R. Morris (1964)
The Value of Historical Data in Population Research, with Particular Reference to Hyphantria cunea DruryThe Canadian Entomologist, 96
O. Richards (1961)
The Theoretical and Practical Study of Natural Insect PopulationsAnnual Review of Entomology, 6
R. Anderson (1954)
The Problem of Autocorrelation in Regression AnalysisJournal of the American Statistical Association, 49
(1971)
Evaluation of r 61 es of two or more mortality factors acting contemporaly
D. Hughes (1970)
Some Factors Affecting Drift and Upstream Movements of Gammarus PulexEcology, 51
J. Amant (1970)
The Detection of Regulation in Animal PopulationsEcology, 51
C. Elton, Mary Nicholson (1942)
The Ten-Year Cycle in Numbers of the Lynx in CanadaJournal of Animal Ecology, 11
H. Klomp (1966)
The Dynamics of a Field Population of the Pine Looper, Bupalus piniarius L.(Lep., Geom.)Advances in Ecological Research, 3
G. Salt (1966)
An examination of Logarithmic Regression as a Measure of Population Density ReponseEcology, 47
G. Yule
Why do we Sometimes get Nonsense-Correlations between Time-Series?--A Study in Sampling and the Nature of Time-SeriesJournal of the Royal Statistical Society, 89
M. Solomon (1964)
Analysis of Processes Involved in the Natural Control of InsectsAdvances in Ecological Research, 2
M. Mukerji (1971)
MAJOR FACTORS IN SURVIVAL OF THE IMMATURE STAGES OF HYLEMYA BRASSICAE (DIPTERA: ANTHOMYIIDAE) ON CABBAGEThe Canadian Entomologist, 103
A. Nicholson (1957)
The Self-Adjustment of Populations to ChangeCold Spring Harbor Symposia on Quantitative Biology, 22
A. Nicholson (1954)
An outline of the dynamics of animal populations.Australian Journal of Zoology, 2
G. Varley, G. Gradwell (1968)
Population models for the winter moth.
(1966)
Some considerations on the population fluctuation of rice stem borer ( in Japanese with English summary )
G. Varley, G. Gradwell (1960)
Key factors in population studies.Journal of Animal Ecology, 29
R. Luck (1971)
AN APPRAISAL OF TWO METHODS OF ANALYZING INSECT LIFE TABLESThe Canadian Entomologist, 103
G. Varley, G. Gradwell (1970)
Recent Advances in Insect Population DynamicsAnnual Review of Entomology, 15
P. Larkin, J. Mcdonald (1968)
Factors in the Population Biology of the Sockeye Salmon of the Skeena RiverJournal of Animal Ecology, 37
H. Grimm (1961)
Ezekiel, Mordecai, and K. A. Fox: Methods of Correlation and Regression Analysis, linear and curvilinear. 3. ed., Wiley, New York 1959, 548 Seiten, $ 10,95Biometrische Zeitschrift, 3
M. Neilson, R. Morris (1964)
The Regulation of European Spruce Sawfly Numbers in the Maritime Provinces of Canada from 1937 to 1963The Canadian Entomologist, 96
M. Hassell, C. Huffaker (1969)
THE APPRAISAL OF DELAYED AND DIRECT DENSITY-DEPENDENCEThe Canadian Entomologist, 101
F. Evans, Charles Elton (1942)
Voles, Mice and Lemmings: Problems in Population DynamicsJournal of Wildlife Management, 7
P. Sprent (1971)
Models in regression and related topics
C. Miller (1966)
The Black-headed Budworm in Eastern CanadaThe Canadian Entomologist, 98
(1959)
Life tables in population ecology , with special reference to insects ( Japanese )
T. Southwood (1967)
The Interpretation of Population ChangeJournal of Animal Ecology, 36
M. Kendall (1945)
The advanced theory of statistics
R. Morris (1963)
The Dynamics of Epidemic Spruce Budworm PopulationsMemoirs of the Entomological Society of Canada, 95
E. Kuno (1971)
Sampling error as a misleading artifact in “key factor analysis”Researches on Population Ecology, 13
K. Kiritani, N. Hokyo, Katutiyo Kimura (1967)
The Study on the Regulatory System of the Population of the Southern Green Stink Bug, Nezara viridula L.(Heteroptera : Pentatomidae) under Semi-Natural ConditionsApplied Entomology and Zoology, 2
R. Morris (1959)
Single‐Factor Analysis in Population DynamicsEcology, 40
L. Clark (1964)
The population dynamics of Cardiaspina albitextura (Psyllidae).Australian Journal of Zoology, 12
R. Paradis, E. Leroux (1965)
Recherches sur la Biologie et la Dynamique des Populations Naturelles d'Archips argyrospilus (Wlk.) (Lépidoptères: Tortricidae) dans le Sud-ouest du QuébecMemoirs of the Entomological Society of Canada, 97
M. Solomon (1968)
Logarithmic Regression as a Measure of Population Density Response: Comment on a Report by G. W. SaltEcology, 49
I. Clarke, P. Geieh, R. Hughes, R. Morris, J. Wallwork (1968)
The Ecology of Insect Populations in Theory and PracticePedobiologia
The analysis of density dependence in studies on insect population regulation
伊藤 嘉昭 (1959)
The population dynamics of the spruce budworm in eastern CanadaJapanese Journal of Applied Entomology and Zoology, 3
H. Andrewartha, L. Birch (1954)
The distribution and abundance of animals., 20
Frederick Swan, K. Watt (1968)
Ecology and Resource ManagementBioScience
Decemlzneata Say (1971)
POPULATION DYNAMICS OF LEPTINOTARSA DECEMLINEATA (SAY) IN EASTERN ONTARIO: III. MAJOR POPULATION PROCESSESThe Canadian Entomologist, 103
R. Morris (1963)
Predictive Population Equations Based on Key FactorsMemoirs of the Entomological Society of Canada, 95
L. Eberhardt (1970)
Correlation, Regression, and Density DependenceEcology, 51
D. Maelzer (1970)
The Regression of Log N(n+1) On Log N(n) as a Test of Density Dependence: An Exercise with Computer-Constructed Density-Independent Populations.Ecology, 51 5
A. Madansky (1959)
The fitting of straight lines when both variables are subject to errorJournal of the American Statistical Association, 54
K. Watt (1961)
Mathematical Models for use in Insect Pest ControlMemoirs of the Entomological Society of Canada, 93
J. Wallwork, T. Southwood (1967)
Ecological Methods with particular reference to the study of insect populationsPedobiologia
K. Watt (1964)
Density Dependence in Population FluctuationsThe Canadian Entomologist, 96
The determination of density-dependence of a mortality process is attempted by taking the linear regression of the logarithm of population density (or k defined by Varley and Gradwell, 1960) against the logarithm of previous density, based on the assumption that the slope, b , of the line is smaller than unity for log density-log density relationship or larger than zero for k -log density relationship. It was concluded, however, that the following three factors violate the basic assumption, providing no density-dependence. 1. In a Morris plot based on serial data, the value of b tends to be near the value of r . Thus, when the relationship is strongly affected by chance factors, giving remarkably scattered points on graph, the value of b tends to be always lower than unity. 2. When the independent variables (log previous density) are subject to sampling error, the value of b tends to be smaller than unity for density-density relations or larger than zero for k -density relations. 3. In Morris plot, where log densities are used twice as an independent and a dependent variables excepting the first and the last generation, the effect of timelag strongly reduces the value of b when the number of generations is not large.
Oecologia – Springer Journals
Published: Dec 1, 1972
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