Statistical Analysis of Circular DataA unified, up-to-date account of circular data-handling techniques, useful throughout science. |
Contents
I | 1 |
II | 15 |
III | 30 |
V | 35 |
VI | 37 |
VIII | 39 |
IX | 40 |
X | 41 |
LIX | 155 |
LX | 157 |
LXI | 163 |
LXII | 166 |
LXIII | 168 |
LXIV | 169 |
LXV | 172 |
LXVI | 173 |
XI | 43 |
XII | 44 |
XIII | 45 |
XIV | 46 |
XV | 47 |
XVI | 48 |
XVII | 56 |
XVIII | 59 |
XIX | 62 |
XX | 64 |
XXI | 72 |
XXIII | 73 |
XXIV | 75 |
XXV | 79 |
XXVI | 80 |
XXVII | 81 |
XXVIII | 82 |
XXX | 85 |
XXXI | 88 |
XXXII | 93 |
XXXIII | 96 |
XXXIV | 97 |
XXXV | 100 |
XXXVI | 102 |
XXXVII | 105 |
XXXVIII | 109 |
XXXIX | 113 |
XL | 114 |
XLII | 115 |
XLIII | 118 |
XLIV | 122 |
XLV | 123 |
XLVI | 124 |
XLVII | 130 |
XLVIII | 131 |
XLIX | 133 |
LI | 135 |
LII | 139 |
LIII | 140 |
LIV | 145 |
LVI | 146 |
LVII | 151 |
LVIII | 153 |
LXVII | 176 |
LXVIII | 184 |
LXIX | 189 |
LXX | 199 |
LXXI | 200 |
LXXII | 205 |
LXXIII | 207 |
LXXIV | 209 |
LXXV | 210 |
LXXVI | 211 |
LXXVII | 212 |
LXXVIII | 213 |
LXXIX | 214 |
LXXX | 219 |
LXXXI | 221 |
LXXXII | 224 |
LXXXIII | 225 |
LXXXV | 226 |
LXXXVI | 227 |
LXXXVII | 230 |
LXXXVIII | 231 |
LXXXIX | 232 |
XC | 234 |
XCI | 236 |
XCII | 239 |
XCIII | 240 |
XCIV | 241 |
XCVI | 242 |
XCVII | 243 |
XCIX | 244 |
CI | 245 |
CII | 246 |
CIII | 249 |
CIV | 250 |
CVI | 251 |
CVIII | 252 |
CIX | 253 |
CX | 254 |
CXII | 255 |
CXIII | 257 |
| 269 | |
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Common terms and phrases
algorithm alternative Analysis Examples angular approximate association axial data binwidth Biometrika bootstrap estimates bootstrap method bootstrap sample calculate Cauchy distribution change-points circular data circular random variable circular standard error common mean direction concentration parameter confidence interval confidence region correlation corresponding Critical values cross-bed data are listed data points data set density estimate described display Fisher & Lee fracture given histogram large-sample linear data Mardia mean resultant length measurements median Mises distribution Mises model modal groups noisy scrub birds nonparametric density estimate Normal distribution null hypothesis obtained orientations outliers pooled estimate Prob probability density function problem pseudo-random Q-Q plot random variable References and footnotes resample rose diagram sample mean direction sample of data Sample quantiles sample sizes shown in Figure significance probability single sample small samples smoothing spatial test statistic uniformity unimodal unimodal distribution vectors von Mises distribution Watson wind direction