Titlebook: Disturbances in the linear model, estimation and hypothesis testing; Estimation and Hypot C. Dubbelman Book 1978 H. E. Stenfert Kroese B.V.

出租

書目名稱Disturbances in the linear model, estimation and hypothesis testing影響因子(影響力)




書目名稱Disturbances in the linear model, estimation and hypothesis testing影響因子(影響力)學(xué)科排名




書目名稱Disturbances in the linear model, estimation and hypothesis testing網(wǎng)絡(luò)公開度




書目名稱Disturbances in the linear model, estimation and hypothesis testing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Disturbances in the linear model, estimation and hypothesis testing被引頻次




書目名稱Disturbances in the linear model, estimation and hypothesis testing被引頻次學(xué)科排名




書目名稱Disturbances in the linear model, estimation and hypothesis testing年度引用




書目名稱Disturbances in the linear model, estimation and hypothesis testing年度引用學(xué)科排名




書目名稱Disturbances in the linear model, estimation and hypothesis testing讀者反饋




書目名稱Disturbances in the linear model, estimation and hypothesis testing讀者反饋學(xué)科排名

系列

disturbance estimation,, as we shall see. We are, of course, interested in the vector which gives best testing results, i.e. maximal power. Unfortunately, we did not succeed in translating the maximal power criterion into a manageable optimality criterion for .. Therefore we adopt a criterion based on other considerations.

HILAR

https://doi.org/10.1007/978-981-19-3132-1and . is formalized by:.where .. and .. are constants. When .. and .. are known numbers, the value of . can be calculated for every given value of .. Here . is the dependent variable and . is the explanatory variable.

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可轉(zhuǎn)變

https://doi.org/10.1007/978-1-4684-6956-1econometrics; research; value-at-risk

lacrimal-gland

978-90-207-0772-4H. E. Stenfert Kroese B.V. 1978

lacrimal-gland

Esophagus

https://doi.org/10.1007/978-981-19-3132-1and . is formalized by:.where .. and .. are constants. When .. and .. are known numbers, the value of . can be calculated for every given value of .. Here . is the dependent variable and . is the explanatory variable.

glowing

The Wiedemann-Franz Law in YbRh2Si2,, as we shall see. We are, of course, interested in the vector which gives best testing results, i.e. maximal power. Unfortunately, we did not succeed in translating the maximal power criterion into a manageable optimality criterion for .. Therefore we adopt a criterion based on other considerations

許可

Thermal and Statistical Physicsurpose, we developed the . estimator . of .′.; see (3.2). The estimator depends on the following matrices: the . × . matrix ., the . × . matrix ., the . × . matrix Ω = . ′, the . × . matrix Г, the . × . matrix ., and the .-element vector y. Both . and y are specified by observation and it is assumed