- Page 1 and 2: Challenges for Analysis of the Econ
- Page 3 and 4: CONTENTS PLENARY SESSIONS .........
- Page 5 and 6: Contents Price transmission in Serb
- Page 7 and 8: Contents The risk in the within hor
- Page 9 and 10: Contents STATISTICAL THEORY .......
- Page 11 and 12: PLENARY SESSIONS Emergence of new b
- Page 13 and 14: Plenary Sessions eNAQ II: A Prototy
- Page 15 and 16: p ijk ⎡ ⎛ = p ⎢ ⎜ jk pi•
- Page 17 and 18: Plenary Sessions The Heterogeneous
- Page 19 and 20: Application of Information Technolo
- Page 21 and 22: Application of Information Technolo
- Page 23 and 24: Application of Information Technolo
- Page 25 and 26: Application of Information Technolo
- Page 27 and 28: Application of Information Technolo
- Page 29 and 30: Application of Information Technolo
- Page 31 and 32: Consumer Behaviour Attitudes toward
- Page 33: Consumer Behaviour methodological a
- Page 37 and 38: Consumer Behaviour Measuring the va
- Page 39 and 40: Consumer Behaviour Keywords: MPM de
- Page 41 and 42: Consumer Behaviour Sampling techniq
- Page 43 and 44: Consumer Behaviour The effect of MB
- Page 45 and 46: ECONOMIC & BUSINESS STATISTICS A co
- Page 47 and 48: Economic & Business Statistics Adap
- Page 49 and 50: Economic & Business Statistics Cons
- Page 51 and 52: Economic & Business Statistics Corp
- Page 53 and 54: Economic & Business Statistics Deve
- Page 55 and 56: Economic & Business Statistics Econ
- Page 57 and 58: Economic & Business Statistics Esti
- Page 59 and 60: Economic & Business Statistics Expo
- Page 61 and 62: Economic & Business Statistics Hous
- Page 63 and 64: Economic & Business Statistics Is F
- Page 65 and 66: Economic & Business Statistics Mode
- Page 67 and 68: Economic & Business Statistics Whil
- Page 69 and 70: Economic & Business Statistics Ther
- Page 71 and 72: Economic & Business Statistics Part
- Page 73 and 74: Economic & Business Statistics Pric
- Page 75 and 76: Economic & Business Statistics Russ
- Page 77 and 78: Economic & Business Statistics Samp
- Page 79 and 80: Economic & Business Statistics Some
- Page 81 and 82: Economic & Business Statistics The
- Page 83 and 84: Economic & Business Statistics The
- Page 85 and 86:
Economic & Business Statistics The
- Page 87 and 88:
Economic & Business Statistics The
- Page 89 and 90:
Economic & Business Statistics Tran
- Page 91 and 92:
Economic & Business Statistics Twos
- Page 93 and 94:
EDUCATIONAL ISSUES An experiment on
- Page 95 and 96:
Educational Issues Analysis of prob
- Page 97 and 98:
Educational Issues Data Mining Educ
- Page 99 and 100:
Educational Issues How can statisti
- Page 101 and 102:
Educational Issues Keywords: langua
- Page 103 and 104:
Educational Issues Methodology of o
- Page 105 and 106:
Educational Issues Testing Wagner
- Page 107 and 108:
Educational Issues The Changing of
- Page 109 and 110:
Educational Issues The improvement
- Page 111 and 112:
FINANCIAL MODELING AND SIMULATION A
- Page 113 and 114:
Financial Modeling & Simulation Exc
- Page 115 and 116:
Financial Modeling & Simulation Int
- Page 117 and 118:
Financial Modeling & Simulation Mod
- Page 119 and 120:
Financial Modeling & Simulation On
- Page 121 and 122:
Financial Modeling & Simulation Rat
- Page 123 and 124:
FINANCIES - EMPIRICAL ISSUES & RISK
- Page 125 and 126:
Financies - Empirical Issues & Risk
- Page 127 and 128:
Financies - Empirical Issues & Risk
- Page 129 and 130:
Financies - Empirical Issues & Risk
- Page 131 and 132:
Financies - Empirical Issues & Risk
- Page 133 and 134:
Financies - Empirical Issues & Risk
- Page 135 and 136:
Financies - Empirical Issues & Risk
- Page 137 and 138:
Financies - Empirical Issues & Risk
- Page 139 and 140:
Financies - Empirical Issues & Risk
- Page 141 and 142:
Financies - Empirical Issues & Risk
- Page 143 and 144:
Financies - Empirical Issues & Risk
- Page 145 and 146:
Financies - Empirical Issues & Risk
- Page 147 and 148:
Financies - Empirical Issues & Risk
- Page 149 and 150:
Financies - Empirical Issues & Risk
- Page 151 and 152:
Financies - Empirical Issues & Risk
- Page 153 and 154:
Financies - Empirical Issues & Risk
- Page 155 and 156:
Labour Markets individual data from
- Page 157 and 158:
Labour Markets Capital accumulation
- Page 159 and 160:
Labour Markets Environmental Regula
- Page 161 and 162:
Labour Markets Judgment of the empl
- Page 163 and 164:
Labour Markets Methods for analysin
- Page 165 and 166:
Labour Markets Parametric sample se
- Page 167 and 168:
Labour Markets Using statistical me
- Page 169 and 170:
Labour Markets The results indicate
- Page 171 and 172:
MEASUREMENT ISSUES A critical analy
- Page 173 and 174:
Measurement Issues Analysing method
- Page 175 and 176:
Measurement Issues Difficulties in
- Page 177 and 178:
Measurement Issues Method of the me
- Page 179 and 180:
Measurement Issues Performance Eval
- Page 181 and 182:
Measurement Issues Risk measures in
- Page 183 and 184:
Measurement Issues The consequences
- Page 185 and 186:
Measurement Issues The prospects of
- Page 187 and 188:
REGIONAL & SPATIAL ANALYSIS Analyse
- Page 189 and 190:
Regional & Spatial Analysis Innovat
- Page 191 and 192:
Regional & Spatial Analysis Local B
- Page 193 and 194:
Regional & Spatial Analysis Measuri
- Page 195 and 196:
Regional & Spatial Analysis Railway
- Page 197 and 198:
Regional & Spatial Analysis The ana
- Page 199 and 200:
Regional & Spatial Analysis The spa
- Page 201 and 202:
Social Statistics There is a wide c
- Page 203 and 204:
Social Statistics Application of mi
- Page 205 and 206:
Social Statistics Economic crises a
- Page 207 and 208:
Social Statistics Impact of some so
- Page 209 and 210:
Social Statistics Investigating Den
- Page 211 and 212:
Social Statistics Russian Military
- Page 213 and 214:
Social Statistics Statistical indic
- Page 215 and 216:
Social Statistics Statistics of Pov
- Page 217 and 218:
Social Statistics The international
- Page 219 and 220:
Social Statistics Typology of the f
- Page 221 and 222:
STATISTICAL THEORY A new way of ind
- Page 223 and 224:
Statistical Theory Collinearity Mea
- Page 225 and 226:
Statistical Theory Effects of Round
- Page 227 and 228:
Statistical Theory Linear and linea
- Page 229 and 230:
Statistical Theory On the History o
- Page 231 and 232:
Statistical Theory Relationship bet
- Page 233 and 234:
Statistical Theory Risk - Definitio
- Page 235 and 236:
Statistical Theory The Evolution of
- Page 237 and 238:
Statistical Theory Using Massively
- Page 239 and 240:
Statistical Theory Vendor selection
- Page 241 and 242:
Tourism Analyses of local ingredien
- Page 243 and 244:
Tourism Influence of seasonal facto
- Page 245 and 246:
Tourism Methodology and estimation
- Page 247 and 248:
Tourism The Role of Tourism in the
- Page 249 and 250:
Economy, Society, Education - Sessi
- Page 251 and 252:
Economy, Society, Education - Sessi
- Page 253 and 254:
Economy, Society, Education - Sessi
- Page 255 and 256:
Economy, Society, Education - Sessi
- Page 257 and 258:
Economy, Society, Education - Sessi
- Page 259 and 260:
Economy, Society, Education - Sessi
- Page 261 and 262:
Economy, Society, Education - Sessi
- Page 263 and 264:
Economy, Society, Education - Sessi
- Page 265 and 266:
Economy, Society, Education - Sessi
- Page 267 and 268:
Economy, Society, Education - Sessi