|
ÇÑ
±Û |
¿µ
¹® |
1 |
°¡°è¼Òµæ |
household income |
2 |
°¡´Éµµ, ¿ìµµ |
likelihood |
3 |
°¡´Éµµ[¿ìµµ]ºñ °ËÁ¤[°ËÁõ] |
likelihood ratio test |
4 |
°¡´Éµµ±â¹Ý ±¹¼Ò¼±Çüȸ±Í |
likelihood-based local linear regression |
5 |
°¡´Éµµºñ, ¿ìµµºñ |
likelihood ratio |
6 |
°¡´Éµµ¿ø¸®, ¿ìµµ¿ø¸® |
likelihood principle |
7 |
°¡´ÉµµÇÔ¼ö, ¿ìµµÇÔ¼ö |
likelihood function |
8 |
°¡·ÎÃà, ȾÃà |
axis of abscissas |
9 |
°¡¸éÈ, °¨Ãã |
masking |
10 |
°¡¸éÈÈ¿°ú, °¨ÃãÈ¿°ú |
masking effect |
11 |
°¡º¯(º¯µ¿)ÃßÃâ°£°Ý |
variable sampling interval |
12 |
°¡º¯¼ö |
dummy variable |
13 |
°¡º¯ÃßÃâ[Ç¥Áý]ºñ |
variable sampling rate |
14 |
°¡º¯Ç¥º»Å©±â |
variable sample size |
15 |
°¡ºÎ¹ÝÀÀ, °è¼ö¹ÝÀÀ |
quantal response |
16 |
°¡ºÎ½ÃÇè |
quantal assay |
17 |
°¡ºê¸®¿¤ÀÇ °ËÁ¤[°ËÁõ] |
Gabriel's test |
18 |
°¡»ê°ø¸® |
countability axiom |
19 |
°¡»êÀÇ, ¼¿ ¼ö ÀÖ´Â |
countable |
20 |
°¡»êÁýÇÕ, ¼¿ ¼ö ÀÖ´Â ÁýÇÕ |
countable set |
21 |
°¡»êÈ®·ü°ø°£ |
countable probability space |
22 |
°¡»ó°üÇà·Ä |
working correlation matrix |
23 |
°¡¼³ |
hypothesis |
24 |
°¡¼³°ËÁ¤ |
testing hypothesis |
25 |
°¡¼³°ËÁ¤[°ËÁõ] |
hypothesis testing |
26 |
°¡¼³°ËÁ¤[°ËÁõ] |
test of hypothesis |
27 |
°¡¼Ó¼øÂ÷°úÁ¤ |
accelerated sequential procedure |
28 |
°¡¼öÁØ |
dummy level |
29 |
°¡¿ª°ü°è |
reversible relation |
30 |
°¡¿ªº¯È¯ |
invertible transformation |
31 |
°¡¿ª¼±Çüº¯È¯ |
invertible linear transformation |
32 |
°¡¿ª¼º |
invertibility |
33 |
°¡¿ªÇà·Ä |
invertible matrix |
34 |
°¡¿ëµµ |
availability |
35 |
°¡¿ì½º °î¼± |
Gaussian curve |
36 |
°¡¿ì½º °úÁ¤ |
Gaussian process |
37 |
°¡¿ì½º ¹Ðµµ |
Gaussian density |
38 |
°¡¿ì½º ºÎµî½Ä |
Gauss inequality |
39 |
°¡¿ì½º ºÐÆ÷ |
Gaussian distribution |
40 |
°¡¿ì½º ÀâÀ½ |
Gaussian noise |
41 |
°¡¿ì½º Ãøµµ |
Gaussian measure |
42 |
°¡¿ì½º È¥ÇÕ¸ðÇü |
Gaussian mixture model |
43 |
°¡¿ì½º È®·üº¯¼ö |
Gaussian random variable |
44 |
°¡¿ì½º-´ºÆ° ¹æ¹ý |
Gauss-Newton method |
45 |
°¡¿ì½º-¸¶¸£ÄÚÇÁ Á¤¸® |
Gauss-Markov theorem |
46 |
°¡¿ì½º-»çÀ̵¨ ¹æ¹ý |
Gauss-Seidel method |
47 |
°¡¿ì½º-Á¶¸£´Ü ¼Ò°Å(¹ý) |
Gauss-Jordan elimination |
48 |
°¡Á¤ |
assumption |
49 |
°¡Áß°¡´Éµµºñ |
weighted likelihood ratio |
50 |
°¡Áß°ª, °¡ÁßÄ¡ |
weight |
51 |
°¡Áß°ªÇÔ¼ö, °¡ÁßÄ¡ÇÔ¼ö |
weight function |
52 |
°¡ÁߺÐÆ÷ |
weighted distribution |
53 |
°¡Áß»ê¼úÆò±Õ |
weighted arithmetic mean |
54 |
°¡ÁßÀ̵¿Æò±Õ |
weighted moving average |
55 |
°¡ÁßÁÖ¼ººÐºÐ¼® |
weighted principal component analysis |
56 |
°¡ÁßÁö¼ö |
weighted index number |
57 |
°¡ÁßÃÖ¼ÒÁ¦°ö¹ý |
weighted least squares method |
58 |
°¡ÁßÅõÇ¥ |
weighted voting |
59 |
°¡ÁßÆò±Õ |
weighted average |
60 |
°¡ÁßÆò±Õ |
weighted mean |
61 |
°¡ÁßÇÕ |
weighted sum |
62 |
°¡Áßȸ±Í |
weighted regression |
63 |
°¡ÁöÄ¡±â |
pruning |
64 |
°¡ÁöÄ¡±â ±â¹ý |
pruning technique |
65 |
°¡Â¥¿äÀÎÈ¿°ú, ÇãÀ§¿äÀÎÈ¿°ú |
spurious factor effects |
66 |
°¡Ã³¸® |
dummy treatment |
67 |
°¡Ãø°ø°£ |
measurable space |
68 |
°¡Ãøº¯¼ö |
measurable variable |
69 |
°¡Ãøº¯È¯ |
measurable transformation |
70 |
°¡ÃøÀÎ, Àê ¼ö ÀÖ´Â |
measurable |
71 |
°¡ÃøÁýÇÕ |
measurable set |
72 |
°¡ÃøÇÔ¼ö |
measurable function |
73 |
°¡Ä¡Áö¼ö |
value index |
74 |
°¡Æ®ÀÇ °ËÁ¤[°ËÁõ] |
Gart's test |
75 |
°¡Æò±Õ |
working mean |
76 |
°£¼·, Áß´Ü |
interruption |
77 |
°£Á¢°üÃø |
indirect observation |
78 |
°£Á¢½ÃÇè, °£Á¢»ý°Ë |
indirect assay |
79 |
°£Á¢Á¶»ç |
indirect survey |
80 |
°£Á¢Ç¥Áý |
indirect sampling |
81 |
°£Á¢È¿°ú |
indirect effect |
82 |
°£Æ® ÁøÇàÇ¥ |
Gantt progress chart |
83 |
°¥·ç¾Æ ü |
Galois field |
84 |
°¥ÁöÀÚÇüÀÔ±¸ |
staggered-entry |
85 |
°¨°¢°Ë»ç, °ü´É°Ë»ç |
sensory test |
86 |
°¨°¢Æò°¡, °ü´ÉÆò°¡ |
sensory evaluation |
87 |
°¨¸¶ °è¼ö |
gamma coefficient |
88 |
°¨¸¶ ºÐÆ÷ |
gamma distribution |
89 |
°¨¸¶ ÇÔ¼ö |
gamma function |
90 |
°¨¸¶ È®·üº¯¼ö |
gamma random variable |
91 |
°¨¼Ò°íÀå·ü |
decreasing failure rate |
92 |
°¨¼ÒÀ§Çè·ü |
decreasing hazard rate |
93 |
°¨¼ÒÆò±ÕÀÜ¿©¼ö¸í |
decreasing mean residual life |
94 |
°¨¿°ºÐÆ÷, ¿À¿°ºÐÆ÷ |
contagious distribution |
95 |
°¨¿°Á¢Á¾À² |
infective inoculation rate |
96 |
°ª |
value |
97 |
° ¸¶¸£ÄÚÇÁ ¼ºÁú |
strong Markov property |
98 |
°´ëÇ¥¼º |
strong representation |
99 |
°µµ |
intensity |
100 |
°µµÇÔ¼ö |
intensity function |
101 |
°¿Ïºñ¼º |
strong completeness |
102 |
°ÀÏÄ¡¼º |
strong consistency |
103 |
°ÀÏÄ¡ÃßÁ¤·® |
strongly consistent estimator |
104 |
°Á¤»ó°úÁ¤ |
strongly stationary process |
105 |
°Á¦Á¶»ç, ¹Ð¾îºÙÀ̱â½Ä Á¶»ç |
push poll |
106 |
°Ã¼¿îµ¿ |
rigid motion |
107 |
°È¥ÇÕ¼ºÁú |
strong mixing property |
108 |
°³³ä(Àû)¸ðÁý´Ü |
conceptual population |
109 |
°³¹æÇü Áú¹®, ÀÚÀ¯ÀÀ´ä Áú¹® |
open-ended question |
110 |
°³º° ¿¡¸£°íµñ Á¤¸® |
individual ergodic theorem |
111 |
°³º°°¡°ÝÁö¼ö |
individual price index |
112 |
°³º°¼ö·®Áö¼ö |
individual quantity index |
113 |
°³º°Áö¼ö |
individual index number |
114 |
°³¿äµµÇ¥ |
overview diagram |
115 |
°³ÀÎÀû È®·ü |
personal probability |
116 |
°³ÀԺм® |
intervention analysis |
117 |
°³ÀÔÈ¿°ú |
intervention effect |
118 |
°³Ã¼°£ ÀÎÀÚ |
between-subjects factor |
119 |
°³Ã¼³» |
within-subject |
120 |
°³Ã¼³» ¼³°èÇà·Ä |
within-subject design matrix |
121 |
°³Ã¼Æ¯Á¤Àû |
subject specific |
122 |
°³Ã¼È¿°ú |
subject effect |
123 |
°´Ã¼ |
object |
124 |
°´Ã¼ÁöÇâÀû ÇÁ·Î±×·¡¹Ö |
object oriented programming |
125 |
°»½Å, Àç»ý, ´Ù½Ã »õ·Î¿ò |
renewal |
126 |
°»½Å°úÁ¤ |
renewal process |
127 |
°»½Å·ü |
renewal rate |
128 |
°»½Å¹æÁ¤½Ä |
renewal equation |
129 |
°»½ÅºÐÆ÷ |
renewal distribution |
130 |
°»½Å½Ä |
updating equation |
131 |
°»½ÅÁ¤¸® |
renewal theorem |
132 |
°Åµì°ö, ¸è |
power (2) |
133 |
°ÅµìÁ¦°öÀÌ ¿µÀÎ |
nilpotent |
134 |
°Å¸® |
distance |
135 |
°Å¸®ºÐÆ÷ |
distance distribution |
136 |
°ÅºÎÀ² |
refusal rate |
137 |
°ÅÄ¥À½, ÀÜÂ÷ |
rough |
138 |
°ÅÇ°¼ø¼È |
bubble sort |
139 |
°Ë»ç |
inspection |
140 |
°Ë»ç ´ÙÀ̾î±×·¥, °Ë»çµµÇ¥ |
inspection diagram |
141 |
°Ë»ç ·ÎÆ® |
inspection lot |
142 |
°Ë»ç-Àç°Ë»ç ½Å·Ú¼º[½Å·Úµµ] |
test-retest reliability |
143 |
°ËÁ¤, °ËÁõ |
test (1) |
144 |
°ËÁ¤[°ËÁõ](ÀÇ) °áÇÕ |
combination of tests |
145 |
°ËÁ¤[°ËÁõ]·Â |
power (1) |
146 |
°ËÁ¤[°ËÁõ]·Â |
power of test |
147 |
°ËÁ¤[°ËÁõ]·Â °î¼± |
power curve |
148 |
°ËÁ¤[°ËÁõ]·Â ÇÔ¼ö |
power function |
149 |
°ËÁ¤[°ËÁõ]ÀÇ Å©±â |
size of a test |
150 |
°ËÁ¤[°ËÁõ]ÀÇ Å©±â |
test size |
151 |
°ËÁ¤[°ËÁõ]Åë°è·® |
test statistic |
152 |
°ËÁ¤·Â ºØ±«Á¡ |
power breakdown point |
153 |
°ËÁõ·Â |
test power |
154 |
°Ñº¸±â ¹«°ü[º¸±â¿¡ ¹«°üÇÑ] ȸ±Í |
seemingly unrelated regression(SUR) |
155 |
°ÔÀÓ ÀÌ·Ð |
game theory |
156 |
°ÔÀÓ, ³îÀÌ |
game |
157 |
°ÔÇÑ-ÀªÄÛ½¼ °ËÁ¤ |
Gehan-Wilcoxon test |
158 |
°ÝÀÚ |
lattice |
159 |
°ÝÀÚ¹«´Ì¹æ°Ý[Á¤¹æ] |
plaid square |
160 |
°ÝÀÚºÐÆ÷ |
lattice distribution |
161 |
°ÝÀÚ¼³°è |
lattice design |
162 |
°ÝÀÚÇ¥Áý |
lattice sampling |
163 |
°ÝÀÚÈ®·üº¯¼ö |
lattice random variable |
164 |
°á°ú, ÃâÇö |
outcome |
165 |
°á·Ð |
conclusion |
166 |
°áÁ¡ |
defect |
167 |
°áÁ¤°è¼ö |
coefficient of determination |
168 |
°áÁ¤°ø°£ |
decision space |
169 |
°áÁ¤±ÔÄ¢ |
decision rule |
170 |
°áÁ¤ºÐ¼® |
decision analysis |
171 |
°áÁ¤ÀÌ·Ð |
decision theory |
172 |
°áÁ¤Àû °íÀå, ÀÓ°è°íÀå |
critical failure |
173 |
°áÁ¤Àû °úÁ¤ |
deterministic process |
174 |
°áÁ¤Àû ¸ðÀǽÇÇè, °áÁ¤Àû ¸ðÀǽÃÇà |
deterministic simulation |
175 |
°áÁ¤Àû ¸ðÇü |
deterministic model |
176 |
°áÁ¤ÀýÂ÷ |
decision procedure |
177 |
°áÁ¤ÇÔ¼ö |
decision function |
178 |
°áÃø°ª, ºÐ½Ç°ª |
missing value |
179 |
°áÃø°üÃø |
missing observation |
180 |
°áÃøÀÚ·á, ºÐ½ÇÀÚ·á |
missing data |
181 |
°áÃøÄ |
missing cell |
182 |
°áÇÕ´©À² |
joint cumulant |
183 |
°áÇÕµµ¼ö[ºóµµ] |
joint frequency |
184 |
°áÇչеµ |
joint density |
185 |
°áÇÕ¹ýÄ¢, ¹À½¹ýÄ¢ |
associative law |
186 |
°áÇÕºÐÆ÷ |
joint distribution |
187 |
°áÇÕÀû·ü |
joint moment |
188 |
°áÇÕÁ¶°ÇºÎ±â´ëÀÜÂ÷ ±×¸² |
Combining Conditional Expectations and RESiduals
plot (CERES plot) |
189 |
°áÇÕÃßÁ¤·® |
combined estimator |
190 |
°áÇÕÃæºÐ¼º |
joint sufficiency |
191 |
°áÇÕÈ®·ü¹ÐµµÇÔ¼ö |
joint probability density function |
192 |
°áÇÕÈ®·üºÐÆ÷ |
joint probability distribution |
193 |
°áÇÕȸ±Í |
joint regression |
194 |
°ã¼±Çü¸ðÇü |
bilinear model |
195 |
°ã¼±Çüº¯È¯ |
bilinear transformation |
196 |
°ã¼±ÇüÇÔ¼ö |
bilinear function |
197 |
°ã¼±ÇüÇü½Ä |
bilinear form |
198 |
°ãÃÄÁø ºÐÆ÷ |
wrapped distribution |
199 |
°ãÃÄÁø Á¤±ÔºÐÆ÷ |
wrapped normal distribution |
200 |
°ãÃÄÁø Æ÷¾Æ¼Û ºÐÆ÷ |
wrapped Poisson distribution |
201 |
°æ°áÁ¡ |
minor defect |
202 |
°æ°è |
boundary |
203 |
°æ°è°ª |
boundary value |
204 |
°æ°è°ª¹®Á¦ |
boundary value problem |
205 |
°æ°èÁ¶°Ç |
boundary condition |
206 |
°æ°èÈ¿°ú |
boundary effects |
207 |
°æ±âÁ¾ÇÕÁö¼ö |
business composite index |
208 |
°æ±âÁö¼ö |
business index |
209 |
°æ±âÈ®»êÁö¼ö, °æ±âµ¿ÇâÁö¼ö |
business diffusion index |
210 |
°æ·Î, ±æ |
path |
211 |
°æ·Î°è¼ö |
path coefficient |
212 |
°æ·ÎµµÇ¥ |
path diagram |
213 |
°æ·ÎºÐ¼® |
path analysis |
214 |
°æ·Î¿ªÃßÀû |
path backtracking |
215 |
°æ·ÎÈ®·ü |
routing probability |
216 |
°æ»ç¹ý |
gradient method |
217 |
°æ½ÃÀû[´Ù½ÃÁ¡] ÀÚ·á |
longitudinal data |
218 |
°æ½ÃÀû[´Ù½ÃÁ¡] Á¶»ç |
longitudinal survey |
219 |
°æ½ÃÀû[´Ù½ÃÁ¡] È¿°ú |
longitudinal effect |
220 |
°æ¿µÁ¤º¸½Ã½ºÅÛ |
management information system (MIS) |
221 |
°æÀïÀ§Çè¸ðÇü |
competing risk model |
222 |
°æÁ¦Àû ¼³°è |
economic design |
223 |
°æÁ¦ÁöÇ¥ |
economic index |
224 |
°æÁ¦È°µ¿Àα¸ |
economically active population |
225 |
°æø |
hinge |
226 |
°æÇè°úÁ¤, °æÇèÈ®·ü°úÁ¤ |
empirical process |
227 |
°æÇèÀû °¡´Éµµ |
empirical likelihood |
228 |
°æÇèÀû °ü°è |
empirical relation |
229 |
°æÇèÀû ´©ÀûºÐÆ÷ÇÔ¼ö |
empirical cumulative distribution function |
230 |
°æÇèÀû º£ÀÌÁî ÀýÂ÷ |
empirical Bayes procedure |
231 |
°æÇèÀû º£ÀÌÁî ÃßÁ¤·® |
empirical Bayes estimator |
232 |
°æÇèÀû ºÐÆ÷ÇÔ¼ö |
empirical distribution function |
233 |
°æÇèÀû À¯ÀǼöÁØ |
empirical significance level |
234 |
°æÇèÀû È®·ü |
empirical probability |
235 |
°æÇèÀûºÐÀ§¼ö |
empirical quantiles |
236 |
°æÇèÀûÁ߽ɱØÇÑÁ¤¸® |
empirical central limit theorem |
237 |
°è°îÁ¡ |
trough point |
238 |
°è±Þ |
class |
239 |
°è±Þ°£ |
between class |
240 |
°è±Þ°£ º¯µ¿ |
between class variation |
241 |
°è±Þ°ª |
class value |
242 |
°è±Þ°æ°è |
class boundary |
243 |
°è±Þ±¸°£ |
class interval |
244 |
°è±Þ±¸°£ÀÇ Å©±â |
size of class interval |
245 |
°è±Þ±âÈ£ |
class symbol |
246 |
°è±Þ³»º¯µ¿ |
within class variation |
247 |
°è±Þµµ¼ö[ºóµµ] |
class frequency |
248 |
°è±Þ»ó´Ü, °è±Þ»óÇÑ |
class upper limit |
249 |
°è±ÞÀÇ ÇÕµ¿(È) |
pooling of classes |
250 |
°è±ÞÆø |
class width |
251 |
°è±ÞÇÏ´Ü, °è±ÞÇÏÇÑ |
class lower limit |
252 |
°è´Ü, ´Ü°è |
step |
253 |
°è´Ü[´Ü°è] ½ºÆ®·¹½º ½ÃÇè |
step stress testing |
254 |
°è´Ü½Ä¼³°è |
staircase design |
255 |
°è´Ü¿µ»ó |
step image |
256 |
°è´ÜÇÔ¼ö |
step function |
257 |
°è·®(Çü), °Å¸® |
metric |
258 |
°è·®°æÁ¦ÇÐ |
econometrics |
259 |
°è·®»çȸÇÐ |
sociometrics |
260 |
°è·®»ý¹°ÇÐ |
biometrics |
261 |
°è·®½É¸®ÇÐ |
psychometrics |
262 |
°è·®Çü |
heterograde |
263 |
°è·®Çü °ü¸®µµ |
control chart for variables |
264 |
°è·®Çü ´ÙÂ÷¿øôµµ¹ý |
metric multidemensional scaling |
265 |
°è·®Çü »ùÇøµ °Ë»ç |
sampling inspection by variables |
266 |
°è»ê, ¼À |
calculation |
267 |
°è»ê, ¼À |
computation |
268 |
°è¼ÓÀû °ËÁ¤[°ËÁõ] |
consecutive test |
269 |
°è¼ö |
coefficient |
270 |
°è¼ö(Íâ¦) |
rank (2) |
271 |
°è¼öÇü |
homograde |
272 |
°è¼öÇü °ü¸®µµ |
control chart for attributes |
273 |
°è¼öÇü »ùÇøµ °Ë»ç |
sampling inspection by attributes |
274 |
°è½Â, Â÷·Ê°ö |
factorial |
275 |
°è½Â´©À² |
factorial cumulant |
276 |
°è½ÂÀû·ü |
factorial moment |
277 |
°è½ÂÇÕ |
factorial sum |
278 |
°è¿º¯µ¿ |
serial variation |
279 |
°è¿»ó°ü |
serial correlation |
280 |
°è¿½ÃÂ÷»ó°ü |
serial lag correlation |
281 |
°èÀý°øÀûºÐ |
seasonal cointegration |
282 |
°èÀý´ÜÀ§±Ù |
seasonal unit root |
283 |
°èÀýº¯µ¿ |
seasonal variation |
284 |
°èÀýº¯µ¿Áö¼ö |
index of seasonal variation |
285 |
°èÀý¼º |
seasonality |
286 |
°èÀýÀμö, °èÀý¿äÀÎ |
seasonal factor |
287 |
°èÀýÁ¶Á¤ |
seasonal adjustment |
288 |
°èÀýÈ¿°ú |
seasonal effect |
289 |
°èÃþµµ |
strata chart |
290 |
°èÃþÀû º£ÀÌÁî ¸ðÇü |
hierachical Bayes model |
291 |
°èÃþÀû º´ÇÕ±ºÁýÈ |
hierachical agglomerative clustering |
292 |
°èÃþÀû ÀϹÝȼ±Çü¸ðÇü |
hierarchical generalized linear model |
293 |
°èÃþÀû ü°è |
hierarchical system |
294 |
°èÅë¿ÀÂ÷ |
systematic error |
295 |
°èÅëÀû, ü°èÀû |
systematic |
296 |
°èÅëÇ¥Áý, °èÅëÃßÃâ |
systematic sampling |
297 |
°èȹ |
planning |
298 |
°í¸¥ ¼ö·Å, ±Õµî¼ö·Å(¼º) |
uniform convergence |
299 |
°í¸¥ ¿¬¼Ó(¼º), ±Õµî¿¬¼Ó(¼º) |
uniform continuity |
300 |
°í¸¥ ¿¬¼Ó, ±Õµî¿¬¼Ó |
uniformly continuous |
301 |
°í¸¥ ÀûºÐ°¡´É¼º, ±ÕµîÀûºÐ°¡´É¼º |
uniform integrability |
302 |
°í¸³ ½Ã½ºÅÛ |
isolated system |
303 |
°íÀ¯°ª |
eigenvalue |
304 |
°íÀ¯º¤ÅÍ |
eigenvector |
305 |
°íÀ¯»çÀüºÐÆ÷ |
intrinsic prior distribution |
306 |
°íÀ¯Ã¼°è |
eigen system |
307 |
°íÀå ¸ðµå, °íÀåÇüÅ |
failure mode |
308 |
°íÀå·ü |
failure rate |
309 |
°íÀå·üÇÔ¼ö |
failure rate function |
310 |
°íÀå¹ß»ý·ü |
rate of occurrence of failures |
311 |
°íÀåºÐ¼® |
failure analysis |
312 |
°íÀåÁ¡ |
point of failure |
313 |
°íÀåÁßµµÀý´Ü |
failure censoring |
314 |
°íÁ¤¹éºÐÀ²Ç¥Áý |
fixed percent sampling |
315 |
°íÁ¤¿äÀÎ, ¸ð¼ö¿äÀÎ |
fixed factor |
316 |
°íÁ¤Á¡Á¤¸® |
fixed point theorem |
317 |
°íÁ¤Ç¥º»Å©±â |
fixed sample size |
318 |
°íÁ¤È¿°ú, ¸ð¼öÈ¿°ú |
fixed effect |
319 |
°íÁÖÆĸðÇü |
high frequency model |
320 |
°íÂ÷»ó°ü |
higher order correlation |
321 |
°íÂ÷Á¡±Ù¼º |
higher order asymptotics |
322 |
°î·ü |
curvature |
323 |
°î¼± |
curve |
324 |
°î¼±¾Æ·¡¸éÀû, °î¼±¹Ø¸éÀû |
area under the curve |
325 |
°î¼±ÀûÇÕ |
curve fitting |
326 |
°î¼±Áö¼öÁ· |
curved exponential family |
327 |
°î¼±È¸±Í |
curvilinear regression |
328 |
°ñ°í·ç ÆÛÁü |
space-filling |
329 |
°õÆ丣Ã÷ °î¼± |
Gompertz curve |
330 |
°ö »óÈ£ÀÛ¿ë |
product interaction |
331 |
°ö, Àû |
product |
332 |
°ö´ÙÇ׺ÐÆ÷, Àû´ÙÇ׺ÐÆ÷ |
product multinomial distribution |
333 |
°ö»ç°Ç |
product event |
334 |
°öÀÌÇ׺ÐÆ÷, ÀûÀÌÇ׺ÐÆ÷ |
product binomial distribution |
335 |
°öÀû·ü |
product moment |
336 |
°öÀû·ü»ó°ü |
product-moment correlation |
337 |
°öÃøµµ |
product measure |
338 |
°ø(Íì)½ºÆåÆ®·³ |
cospectrum |
339 |
°ø°£ |
space |
340 |
°ø°£°èÅëÇ¥º» |
spatial systematic sample |
341 |
°ø°£°úÁ¤ |
spatial process |
342 |
°ø°£¸ðÇü |
spatial model |
343 |
°ø°£¹èÄ¡½ÇÇè |
spatial layout experiment |
344 |
°ø°£º¯µ¿¸ðÇü |
spatial variation model |
345 |
°ø°£ºÐÆ÷ |
spatial distribution |
346 |
°ø°£»ó°ü |
spatial correlation |
347 |
°ø°£½Ã°£¸ðÇü |
spatio-temporal model |
348 |
°ø°£À̵¿ºÒº¯ |
spatially shift invariant |
349 |
°ø°£ÀÚ±â»ó°ü |
spatial autocorrelation |
350 |
°ø°£ÀÚ±âȸ±Í°úÁ¤ |
spatial autoregressive process |
351 |
°ø°£ÀÚ·á |
spatial data |
352 |
°ø°£Á¡°úÁ¤ |
spatial point process |
353 |
°ø°£Åë°è(ÇÐ) |
spatial statistics |
354 |
°ø°£ÆÐÅÏ, °ø°£ÇüÅ |
spatial pattern |
355 |
°ø°£Ç¥Áý[Ç¥º»ÃßÃâ] |
spatial sampling |
356 |
°øµ¿¿¬¼Ó, ¿¬´ë¿¬¼Ó |
jointly continuous |
357 |
°ø¸® |
axiom |
358 |
°ø¸®Àû ¹æ¹ý |
axiomatic method |
359 |
°øº¯µ¿ |
covariation |
360 |
°øº¯µ¿µµ |
covariogram |
361 |
°øº¯·® |
covariate |
362 |
°øºÐ»ê |
covariance |
363 |
°øºÐ»ê±¸Á¶¸ðÇü |
covariance structure model |
364 |
°øºÐ»êÇÔ¼ö |
covariance function |
365 |
°øºÐ»êÇà·Ä |
covariance matrix |
366 |
°ø»ç°Ç |
empty event |
367 |
°ø¼±¼º, °ø¼±Çü¼º |
collinearity |
368 |
°ø½Ä, ½Ä |
formula |
369 |
°ø½ÄÅë°è |
official statistics |
370 |
°øÀûºÐ |
cointegration |
371 |
°øÀûºÐ°ËÁ¤¹ý |
cointregration test |
372 |
°øÁ¤ °ÔÀÓ |
fair game |
373 |
°øÁ¤(ÇÑ) °ÔÀÓ |
equitable game |
374 |
°øÁ¤°ü¸® |
process control |
375 |
°øÁ¤´É·Â |
process capability |
376 |
°øÁ¤´É·Â°ª |
process capability value |
377 |
°øÁ¤´É·Âºñ |
process capability ratio |
378 |
°øÁ¤´É·ÂÁö¼ö |
process capability index |
379 |
°øÁ¤Æò±ÕºÒ·®·ü |
process average fraction defection |
380 |
°øÁØ |
postulate |
381 |
°øÁýÇÕ |
empty set |
382 |
°øÂ÷¼³°è |
tolerance design |
383 |
°øÅ뼺 |
communality |
384 |
°øÅëÀÎÀÚ |
common factor |
385 |
°øÅëÀÎÀںлê |
common factor variance |
386 |
°øÇ¥º» |
empty sample |
387 |
°øÇÐÀû °øÁ¤°ü¸® |
engineering process control |
388 |
°ú´ë»êÆ÷ |
over-dispersion |
389 |
°ú´ë»êÆ÷ºÐÆ÷ |
overdispersed distribution |
390 |
°ú´ë½Äº° |
over-identified |
391 |
°ú´ëÀûÇÕ |
over-fitting |
392 |
°ú´ëÀûÇÕ¸ðÇü |
overfitted model |
393 |
°ú´ëÃßÁ¤°ª |
overestimate |
394 |
°ú´ëƯÁ¤È |
over-specification |
395 |
°ú¸ð¼öÈ |
overparameterization |
396 |
°úºÎÇÏÈ®·ü |
overload probability |
397 |
°ú¼Ò»êÆ÷ |
under-dispersion |
398 |
°ú¼Ò½Äº° |
under-identified |
399 |
°ú¼Ò¿¹Ãø |
under-prediction |
400 |
°ú¼ÒÀûÇÕ |
under-fitting |
401 |
°ú¼ÒÃßÁ¤ |
under-estimation |
402 |
°ú¼ÒÃßÁ¤°ª |
under-estimate |
403 |
°ú¼ÒƯÁ¤È, °ú¼ÒÇ¥±â |
under-specification |
404 |
°ú¼ÒÆ÷ÇÔ |
under-coverage |
405 |
°úÁ¤, °øÁ¤, ÇÁ·Î¼¼½º |
process |
406 |
°úÁ¤¼öÁ¤ |
process adjustment |
407 |
°úÇнÀ |
over-learning |
408 |
°ü°è |
relation |
409 |
°ü°èÇü¸ðÇü |
relational model |
410 |
°ü¸®°Ë»ç |
control inspection |
411 |
°ü¸®µµ |
control chart |
412 |
°ü¸®»óÅ |
in control |
413 |
°ü¸®»óÇÑ |
upper control limit |
414 |
°ü¸®¼öÁØ |
control level |
415 |
°ü¸®Á¡ |
point of control |
416 |
°ü¸®ÁßÀ§¼ö°ËÁ¤ |
control median test |
417 |
°ü¸®Áö |
control sheet |
418 |
°ü¸®ÇÏÇÑ |
lower control limit |
419 |
°ü¸®ÇÑ°è |
control limit |
420 |
°ü½É¿µ¿ª |
region of interest |
421 |
°üÃø, °üÃø°³Ã¼ |
observation |
422 |
°üÃø°¡´Éº¯¼ö |
observable variable |
423 |
°üÃø°ËÁ¤·Â |
observed power |
424 |
°üÃø¿¬±¸ |
observational study |
425 |
°üÃø¿ÀÂ÷ |
observational error |
426 |
°üÃøÁ¤º¸Çà·Ä |
observed information matrix |
427 |
±¤¿ªÇ¥Áý |
extensive sampling |
428 |
±¤ÀÇÀÇ Á¤»ó°úÁ¤ |
wide sense stationary process |
429 |
±³¶õ¿äÀÎ |
disturbance factor |
430 |
±³¹èü°è |
mating system |
431 |
±³Á¤Áö¼ö |
rectified index number |
432 |
±³ÁýÇÕ |
intersection |
433 |
±³Â÷ ½ºÆåÆ®·³ |
cross spectrum |
434 |
±³Â÷°ö, º¤ÅÍ°ö, ¿ÜÀû |
cross product |
435 |
±³Â÷°öÀÇ ºñ |
cross-product ratio |
436 |
±³Â÷°øºÐ»ê |
cross covariance |
437 |
±³Â÷¹üÀ§ |
cross range |
438 |
±³Â÷ºÐ·ù |
cross classification |
439 |
±³Â÷»ó°ü |
cross correlation |
440 |
±³Â÷¼³°è |
cross-over design |
441 |
±³Â÷¿¬ |
run of crossings |
442 |
±³Â÷¿äÀÎ |
crossed factor |
443 |
±³Â÷ÁøÆø ½ºÆåÆ®·³ |
cross amplitude spectrum |
444 |
±³Â÷Â÷ÀÌ |
cross-over difference |
445 |
±³Â÷Ÿ´ç¼º(ÀÔÁõ) |
cross-validation |
446 |
±³Â÷ÆǸŠ|
cross-selling |
447 |
±³Â÷Ç¥, ±³Â÷Á¦Ç¥ |
cross tabulation |
448 |
±³Ã¼ºñ¿ë |
replacement cost |
449 |
±³Ã¼È¸±Í |
switching regression |
450 |
±³È£Æò±Õ¹ý |
reciprocal average method |
451 |
±³È¯ |
interchange |
452 |
±³È¯°¡´Éº¯¼ö, ȣȯ[°¡´É]º¯¼ö |
exchangeable variable |
453 |
±³È¯°¡´É»ç°Ç, ȣȯ[°¡´É]»ç°Ç |
exchangeable event |
454 |
±³È¯¹ýÄ¢ |
commutative law |
455 |
±³È¯Á¤¸® |
interchange theorem |
456 |
±¸, ±¸¸é |
sphere |
457 |
±¸°£ |
interval |
458 |
±¸°£º°´ÙÇ×ȸ±Í |
segmented polynomial regression |
459 |
±¸°£ºÐÆ÷ |
interval distribution |
460 |
±¸°£Ã´µµ |
interval scale |
461 |
±¸°£ÃßÁ¤ |
interval estimation |
462 |
±¸¸é±ØÁÂÇ¥ |
spherical polar coordinate |
463 |
±¸¸é»ï°¢Çü |
spherical triangle |
464 |
±¸¹Ý°æ |
spherical radius |
465 |
±¸½½½ÇÇè |
bead experiment |
466 |
±¸ÀÎ(Ï°ì×) |
construct |
467 |
±¸ÀΟ´ç¼º |
construct validity |
468 |
±¸Àû |
quadrature |
469 |
±¸ÀûÁ¡ |
quadrature point |
470 |
±¸Á¶ |
structure |
471 |
±¸Á¶¹æÁ¤½Ä |
structural equation |
472 |
±¸Á¶Àû °ü°è |
structural relationship |
473 |
±¸Á¶Àû ¿µ |
structural zero |
474 |
±¸Á¶ÈÁú¹® |
structured question |
475 |
±¸Çü´ëĪ |
spherical symmetry |
476 |
±¸ÇüºÐ»êÇÔ¼ö |
spherical variance function |
477 |
±¸ÇüºÐÆ÷, ±¸¸éºÐÆ÷ |
spherical distribution |
478 |
±¸Çü¼º |
spherical |
479 |
±¸Çü¼º |
sphericity |
480 |
±¸Çü¼º°ËÁ¤[°ËÁõ] |
sphericity test |
481 |
±¸ÇüÁ¤±ÔºÐÆ÷ |
spherical normal distribution |
482 |
±¹°¡´ëÂ÷´ëÁ¶Ç¥ |
national balance sheet |
483 |
±¹¸éÀüȯ¸ðÇü |
regime-switching model |
484 |
±¹¼Ò ¶ì³Êºñ |
local bandwidth |
485 |
±¹¼Ò(Àû)°¡ÃøÀÎ |
locally measurable |
486 |
±¹¼Ò(Àû)ÃÖ°·Â °ËÁ¤[°ËÁõ] |
locally most powerful test |
487 |
±¹¼Ò(Àû)ÃÖÀû¼³°è |
locally optimal design |
488 |
±¹¼Ò°¡´Éµµ |
local likelihood |
489 |
±¹¼Ò°¡Áß»êÁ¡µµÆòÈ° |
locally weighted scatterplot smoothing |
490 |
±¹¼Ò±ØÇÑÁ¤¸® |
local limit theorem |
491 |
±¹¼Ò´ÙÇ×ÃßÁ¤·® |
local polynomial estimator |
492 |
±¹¼Ò´ÙÇ×ÆòÈ° |
local polynomial smoothing |
493 |
±¹¼Ò¸ð¼öÀû ¹ÐµµÇÔ¼öÃßÁ¤·® |
local parametric density estimator |
494 |
±¹¼Ò¹Î°¨µµ |
local sensitivity |
495 |
±¹¼Ò¼±Çüȸ±Í |
local linear regression |
496 |
±¹¼Ò¿µÇâ·Â |
local influence |
497 |
±¹¼ÒÀû |
local |
498 |
±¹¼ÒÀý´Ü¿ÀÂ÷ |
local truncation error |
499 |
±¹¼ÒÁ¡±ÙÀû Á¤±Ô¼º |
local asymptotic normality |
500 |
±¹¼ÒÁ¡±ÙÈ¿À²¼º |
local asymptotic efficiency |
501 |
±¹¼ÒÁ¦¾î |
local control |
502 |
±¹¼ÒÃÖ·®ºÒº¯°ËÁ¤ |
locally best invariant(LBI) test |
503 |
±¹¼ÒÅë°è·® |
local statistic |
504 |
±¹¼ÒÆò±Õ |
local average |
505 |
±¹¼ÒÇØ |
local solution |
506 |
±¹¼ÒÈ |
localization |
507 |
±¹¼Òȸ±ÍºÐ¼® |
local regression analysis |
508 |
±¹Á¦Åë°èÇÐȸ |
International Statistical Institute (ISI) |
509 |
±ºÁý, Áý¶ô |
cluster |
510 |
±ºÁý°£ ºÐ»ê, Áý¶ô°£ ºÐ»ê |
between cluster variance |
511 |
±ºÁý¹ÝÀÀÁ¤±ÔÀÚ·á |
clustered response normal data |
512 |
±ºÁýºÐ¼®, Áý¶ôºÐ¼® |
cluster analysis |
513 |
±ºÁý½Äº° |
cluster identification |
514 |
±ºÁýÅ©±â, Áý¶ôÅ©±â |
cluster size |
515 |
±ºÁýÇ¥Áý, Áý¶ôÇ¥Áý |
cluster sampling |
516 |
±Àº§ ºÐÆ÷ |
Gumbel distribution |
517 |
±Â¸Ç-Å©·ç½ºÄ® G Åë°è·® |
Goodman-Kruskal G statistic |
518 |
±ÂÆ®¸¸ÀÇ Ã´µµ |
Gutman's scale |
519 |
±Í³³ |
induction |
520 |
±Í³³Àû Á¤ÀÇ |
inductive definition |
521 |
±Í³³Àû Ãß·Ð |
inductive inference |
522 |
±Í³³Àû Çൿ[ÇàÀ§] |
inductive behaviour |
523 |
±Í¹«°¡¼³, ¿µ°¡¼³ |
null hypothesis |
524 |
±Í¹«ºÐÆ÷, ¿µºÐÆ÷ |
null distribution |
525 |
±Í¼ÓÀ§Çè |
attributable risk |
526 |
±Ô°ÝÇÑ°è |
specification limit |
527 |
±Õµî ½ºÆåÆ®·³ |
uniform spectrum |
528 |
±ÕµîºÐÆ÷, ±ÕÀϺÐÆ÷ |
uniform distribution |
529 |
±ÕµîÁ¤¹Ð ¶ì |
equal-precision band |
530 |
±ÕµîÁ¶°ÇºÎÈ®·ü¼ø¼È |
uniform conditional stochastic ordering |
531 |
±ÕµîÇ¥Áý[Ç¥º»ÃßÃâ]ºñ |
uniform sampling fraction |
532 |
±ÕµîÈ¥ÇÕ Æ÷¾Æ¼Û ¸ðÇü |
uniform mixture of Poisson model |
533 |
±ÕµîÈ®·üº¯¼ö, ±ÕÀÏÈ®·üº¯¼ö |
uniform random variable |
534 |
±ÕÀϳ¼ö, ±ÕÀÏÀÓÀǼö |
uniform random number |
535 |
±ÕÀϵµ½ÃÇè |
uniformity trial |
536 |
±ÕÀϼ³°è, ±Õµî¼³°è |
uniform design |
537 |
±ÕÀÏÃÖ°·Â°ËÁ¤[°ËÁõ] |
uniformly most powerful test |
538 |
±ÕÀÏÃÖ°íÈ¿À² |
uniformly most efficient |
539 |
±ÕÀÏÃּҺлêºñÆíÇâÃßÁ¤·® |
uniformly minimum variance unbiased estimator |
540 |
±ÕÀÏÃÖ¼ÒÀ§Çè |
uniformly minimum risk |
541 |
±ÕÀÏÇÏ°Ô º¸´Ù ³ªÀº °áÁ¤ÇÔ¼ö |
uniformly better decision function |
542 |
±ÕÇü |
balance |
543 |
±ÕÇü°èÅëÃßÃâ |
balanced systematic sampling |
544 |
±ÕÇü¹è¿ |
balanced array |
545 |
±ÕÇüºÒ¿Ïºñºí·Ï¼³°è |
balanced incomplete block design (BIBD) |
546 |
±ÕÇü¼³°è |
balanced design |
547 |
±ÕÇü¿äÀμ³°è |
balanced factorial design |
548 |
±ÕÇüÀ̺ÐÇ¥º» |
balanced half sample |
549 |
±ÕÇüÀÚ·á |
balanced data |
550 |
±ÕÇüÁßø, ±ÕÇüÈ¥¼± |
balanced confounding |
551 |
±ÕÇüÇ¥º» |
balanced sample |
552 |
±×·¡ÇÁ ºÐ¼® |
graphical analysis |
553 |
±×·¡ÇÁ À¯ÀǼº°ËÁ¤ |
graphical significance test |
554 |
±×·¡ÇÁ Áø´Ü |
graphical diagnostics |
555 |
±×·¡ÇÁ Ç¥Çö |
graphical presentation |
556 |
±×·¡ÇÁ, ±×¸² |
graph |
557 |
±×·¡ÇȽº |
graphics |
558 |
±×·¥-»þ¸®¿¡ ±Þ¼ö |
Gram-Charlier series |
559 |
±×·¥-½´¹ÌÆ® Á÷±³È |
Gram-Schmidt orthogonalization |
560 |
±×·¹ÄÚ-¶óƾ ¹æ°Ý[Á¤¹æ] |
Graeco-Latin square |
561 |
±×·ì ºÐÇÒ |
group divisible |
562 |
±×·ì ºÐÇÒ¼³°è |
group divisible design |
563 |
±×·ì ¼±º°¹ý |
group screening method |
564 |
±×·ì ¼øÂ÷¹æ¹ý |
group sequential method |
565 |
±×·ì(È) ÀÚ·á |
grouped data |
566 |
±×·ì, ±º, Áý´Ü |
group |
567 |
±×·ì°£ |
between group |
568 |
±×·ì°£ ºÐ»ê |
between groups variance |
569 |
±×·ìÈ |
grouping |
570 |
±×·ìȼöÁ¤ |
correction for grouping |
571 |
±×¸®µå, °ÝÀÚ¸Á |
grid |
572 |
±×¸² |
plot (2) |
573 |
±×¹°ÄÚ |
mesh |
574 |
±Ø, ±Ø¼± |
polar |
575 |
±Ø´Ü(ÀÇ) |
extremal |
576 |
±Ø´Ü°ª ºñ |
extremal quotient |
577 |
±Ø´Ü°ªºÐÆ÷ |
extreme value distribution |
578 |
±Ø´Ü°ªÁö¼ö |
extreme value index |
579 |
±Ø´Ü°úÁ¤ |
extremal process |
580 |
±Ø´ÜÃÖ¼Ò |
extreme minimum |
581 |
±Ø´ÜÅë°è·® |
extremal statistic |
582 |
±Ø´ë, ±¹¼ÒÃÖ´ë |
local maximum |
583 |
±Ø¼Ò, ±¹¼ÒÃÖ¼Ò |
local minimum |
584 |
±ØÁÂÇ¥°è |
polar coordinate system |
585 |
±ØÇÑ, ÇÑ°è, ±ØÇÑ(°ª) |
limit |
586 |
±ØÇѺÐÆ÷ |
limiting distribution |
587 |
±ØÇÑÀû·ü»ý¼ºÇÔ¼ö |
limiting moment generating function |
588 |
±ØÇÑÁ¡, ÁýÀûÁ¡, ½×ÀÎÁ¡ |
limit point |
589 |
±ØÇÑÈ®·ü |
limiting probability |
590 |
±Ùº»»ç°Ç |
fundamental event |
591 |
±Ùº»Çü½Ä |
fundamental form |
592 |
±Ù»çµµ |
goodness-of-approximation |
593 |
±ÙÀ» °®Áö ¾Ê´Â ¿¬¸³¹æÁ¤½Ä |
inconsistent equations |
594 |
±ÙÁ¢¼º Á¤¸® |
proximity theorem |
595 |
±ÙÁ¢¼º, ±ÙÁ¢µµ |
proximity |
596 |
±ÙÁ¢½Äº° |
near identification |
597 |
±ÙÁ¢ÃÖÀû |
near optimal |
598 |
±ÙÁ¢Ãøµµ |
measure of closeness |
599 |
±ÙÄ£±³¹è |
inbreeding |
600 |
±Û·¹Á®ÀÇ È¸±Í°ËÁ¤[°ËÁõ] |
Glejser's regression test |
601 |
±Û¸®º¥ÄÚ-ÄÅÚ¸® º¸Á¶Á¤¸® |
Glivenko-Cantelli lemma |
602 |
±Þ°£ºÐ»ê, °è±Þ°£ºÐ»ê |
interclass variance |
603 |
±Þ°£»ó°ü, °è±Þ°£»ó°ü |
interclass correlation |
604 |
±Þ³»ºÐ»ê |
intraclass variance |
605 |
±Þ³»ºñ |
intraclass ratio |
606 |
±Þ³»»ó°ü°è¼ö |
intraclass correlation coefficient |
607 |
±Þ¼ö, °è¿ |
series |
608 |
±Þ¼öÃßÁ¤ |
series estimation |
609 |
±Þ÷ |
leptokurtic |
610 |
±â°¢ |
rejection |
611 |
±â°¢¼ö, ºÒÇÕ°ÝÆÇÁ¤¼ö |
rejection number |
612 |
±â°¢¿ª, ±â°¢¿µ¿ª |
rejection region |
613 |
±â°¢¿À·ù |
rejection error |
614 |
±â°¢Ç¥º»ÃßÃâ[±â°¢Ç¥Áý] |
rejection sampling |
615 |
±â°¢Ç¥Áý |
rejective sampling |
616 |
±â°¢ÇÏ´Ù |
reject |
617 |
±â´ë |
expectation |
618 |
±â´ë°ª |
expected value |
619 |
±â´ëµµ¼ö[ºóµµ] |
expected frequency |
620 |
±â´ë¼öÀÍ |
expected return |
621 |
±â´ëÆò±ÕÁ¦°ö |
expected mean square |
622 |
±â´ëÇ°Áú¼öÁØ |
expected quality level |
623 |
±â·Ï°ª°ËÁ¤[°ËÁõ] |
records test |
624 |
±â·Ï°ªÅë°è¸ðÇü |
record value statistics model |
625 |
±âº»²Ã, ±âº»Çü |
basic form |
626 |
±âº»´ÜÀ§ |
elementary unit |
627 |
±âº»´ÜÀ§, ÀÏÂ÷´ÜÀ§ |
primary unit |
628 |
±âº»´ëºñ |
elementary contrast |
629 |
±âº»»ç°Ç, ±Ù¿ø»ç»ó |
elementary event |
630 |
±âº»È®·üÁýÇÕ |
elementary probability set |
631 |
±â»óÇÐÀû À§Çè |
meteorological risk |
632 |
񃬔 |
radix |
633 |
±â¼ö, ÁýÇÕÀÇ Å©±â |
cardinal number |
634 |
±â¼ú, ¼¼ú |
description |
635 |
±â¼úÁ¶»ç |
descriptive survey |
636 |
±â¼úÅë°è(ÇÐ) |
descriptive statistics |
637 |
±â¾à ¸¶¸£ÄÚÇÁ ¿¬¼â |
irreducible Markov chain |
638 |
±â¾à, ³ª´ ¼ö ¾ø´Â |
irreducible |
639 |
±â¾à¿ø |
irreducible element |
640 |
±â¾î¸®ÀÇ ºñ |
Geary's ratio |
641 |
±â¾÷½Ç»çÁö¼ö |
business survey index |
642 |
±â¿©ºñ |
contribution ratio |
643 |
±â¿î ºÐÆ÷ |
skewed distribution |
644 |
±â¿ï±â |
slope |
645 |
±â¿ï±â ȸÀü¼º |
slope rotatability |
646 |
±â¿ï±â, °æ»çµµ |
gradient |
647 |
±â¿ï±âºñ½ÃÇè |
slope ratio assay |
648 |
±â¿òÀÇ Ãøµµ, ¿Öµµ |
measure of skewness |
649 |
±âÀú, ±âÁØ, ¹Øº¯, ¹Ø, ¹ÙÅÁ, ¹Ø¸é |
base |
650 |
±âÀú, ¹Ø, ¹ÙÅÁ |
basis |
651 |
±âÀú°î¼±, ¹Ø°î¼± |
base curve |
652 |
±âÀú¹üÁÖ |
baseline category |
653 |
±âÁØ |
benchmark |
654 |
±âÁØ |
criterion |
655 |
±âÁØ°ü·Ã Ÿ´ç¼º |
criterion-related validity |
656 |
±âÁسâ(µµ) |
base year |
657 |
±âÁغÐÆ÷, ÁذźÐÆ÷ |
reference distribution |
658 |
±âÁؼ±, ¹Ø¼±, ¹Ø±Ý |
base line |
659 |
±âÁö¼ö, ¾Ë·ÁÁø ¾ç |
known quantity |
660 |
±âÁöÇ×, ¾Ë·ÁÁø Ç× |
known term |
661 |
±âÇϺÐÆ÷ |
geometric distribution |
662 |
±âÇÏÀû ºê¶ó¿î ¿îµ¿ |
geometric Brownian motion |
663 |
±âÇÏÀû È®·ü |
geometric probability |
664 |
±âÇÏÆò±Õ |
geometric average |
665 |
±âÇÏÆò±Õ |
geometric mean |
666 |
±âȸ¼Õ½Ç |
opportunity loss |
667 |
±ä²¿¸® |
long tail |
668 |
±é½º Ç¥Áý |
Gibbs sampling |
669 |
±é½º Ç¥Áý±â |
Gibbs sampler |
670 |
±íÀÌ |
depth |
671 |
²ªÀº¼± ±×·¡ÇÁ |
graph of broken lines |
672 |
²®Áú¹þ±â±â |
peeling |
673 |
²¿¸® |
tail |
674 |
²¿¸®°¡ÁßÄ¡ |
tail weight |
675 |
²¿¸®ºÎºÐ |
tail part |
676 |
²¿¸®»ç°Ç |
tail event |
677 |
²¿¸®È®·ü |
tail probability |
678 |
²ÀÁöÁ¡¼³°è |
extreme vertices design |
679 |
³¡°ª¼öÁ¤ |
end-value correction |
680 |
³¡Á¡ |
endpoint |
681 |
³¢¿ö³Ö±â |
imbedding / embedding |
682 |
³¢¿ö³ÖÀº °úÁ¤, ³¢¿öÁø °úÁ¤ |
embedded process / imbedded process |
683 |
³¢¿ö³ÖÀº °úÁ¤, ³¢¿öÁø °úÁ¤ |
imbedded process / embedded process |