linear models 中文意思是什麼
linear models
解釋
對數線性模型-
Asymptotic testing theory for generalized linear models
廣義線性模型中檢驗回歸參數統計量的漸近分佈 -
In this thesis improved algorithms are presented as follows : ( 1 ) an algorithm based on the detection of arithmetical series is presented to deinterleave radar signals with stagger pris, especially to those with high order stagger ones. but this algorithm is limited to the model of stagger pri presented by resnick ; ( 2 ) an algorithm is presented to estimate the pris of radar signals with jittered pris based on stochastic dynamic - linear models. this algorithm fits radar signals with jittered pris well, especially when jittered amount is large
針對這種情況，本文提出了以下改進的重頻分選演算法： （ 1 ）針對參差pri脈沖列提出一種重頻分選演算法，該演算法使用等差數列的檢測進行參差鑒別，非常適于對高參差雷達脈沖列的分選，但只局限於雷斯尼克提出的參差模型； （ 2 ）針對抖動pri脈沖列提出基於動態線性模型的重頻分選演算法，非常適用於抖動量較大的情況。 -
Empirical likelihood for higher dimensional linear models
高維線性模型中的經驗似然 -
The paper analyzes the drawbacks of these traditional methods, discusses the application of generalized linear models in non - life insurance pricing, and points out some problems to be considered when applying generalized linear models
本文簡要分析了這些傳統定價方法存在的缺陷，介紹了非壽險精算中典型的廣義線性模型，並通過汽車第三者責任保險的損失數據說明了廣義線性模型在非壽險產品定價中的具體應用，以及應用廣義線性模型時應該注意的幾個問題。 -
Asymptotic normality of multi - dimension quasi - maximum likelihood estimate in generalized linear models with adaptive design
自適應設計廣義線性回歸多維擬似然估計的漸近正態性 -
This study adopts two linear models, multiple regression and quantification, and neural network of non - linear model to investigate the relationship between the style elements and the kansei vocabularies in web designs
本研究目的有三： （ 1 ）了解現有網頁設計狀況； （ 2 ）探討不同網頁對使用者操作的感覺； （ 3 ）研究結果可以提供日後網頁設計的參考。 -
Weak consistency of quasi - maximum likelihood estimates in multivariate generalized linear models
多維廣義線性模型擬極大似然估計的弱相合性 -
A kind of complete convergence of sums for negatively associated sequences of non - identically distributed random variables, in the second chapter, is obtained and the requirement of known results are weakened to the condition that absoluted moment - larger than zero - is finite. the strong convergence of negatively associated sequences of non - identically distributed random variables is discussed in the third chapter. in the fourth chapter, after extend the laws of the iterated logarithm of strong stationary case to weak stationary case, we obtain the strong convergence rate for negatively associated sequences of non - identically distributed random variables in linear models
其中第二章討論了一類不同分佈的na列的加權和的完全收斂性，我們把已有的結果對矩的要求放寬到了只要求大於0的絕對矩有限的情形；第三章討論了不同分佈的na列的加權和的強收斂性；第四章首先把文[ 10 ]的關于na的重對數律由強平穩的情形推廣到了弱平穩不同分佈的情形，然後得到了線性模型中不同分佈的na誤差列的收斂速度。 -
Based on the comprehensive analysis of the road traffic flow ' s characteristics due to the bus stop without bus bay, the multivariate linear models of the speed and the headway are formed with the variables of the stop frequency, the stop time, the overall length of the stop and its reserve time of the bus and the vehicle flow applying the software of excel, and then the strict mathematical checks are made
文章首先比較全面地分析非港灣式公交停車影響下道路交通流特徵，然後藉助于excel軟體，構建關于公交停車頻率、公交停車時間、最大公交停車長度及其存在時間、道路流量的車速和車頭時距多元線性模型，並進行了嚴格的數學檢驗。 -
On spectral decomposition estimates in mixed linear models
線性混合效應模型參數的譜分解估計 -
( 3 ) two kinds of non - linear models to retrieve the relative humidity with geostationary meteorological satellite infrared data were developed
（ 3 ）利用兩種非線性方法，建立了氣象衛星資料反演大氣濕度場的數學模型： a ） -
Generalized likelihood ratio test in partially linear models
部分線性回歸模型中的廣義似然比檢驗 -
This paper mainly deals with the multivariate bayesian inference theory used in the modern economical and management science. this includes the bayesian inference theory about three important kinds of linear models, including the single equation model, multiple equation model system and var ( p ) predictive model, and their application in economic forecasting and quality control, and also the design for the bayesian classification identification method among multiple populations
本文主要研究現代經濟管理中的多元貝葉斯推斷理論，包括單方程模型、多方程模型系統和向量自回歸var （ p ）模型的貝葉斯推斷理論及其在經濟預測與質量控制中的應用，以及多總體的貝葉斯分類識別方法的構造。 -
Testing linearity for nonparametric component of partially linear models
部分線性模型非參數分量的線性關系檢驗 -
By defining new variables, we transformed the non - linear models into the linear model without changing the optimal solution. an indicator is also presented to assist decision - maker to articulate new preference that precise values of sample weights do not need to be provided by dm
第六章針對這一問題，提出如果讓時間樣本權重成比例地增加，就能夠使決策結果既能反映指標值的大小，又能反映指標值的增長。 -
But to this algorithm, it is important to select initial value and the amount of computation is large ; ( 3 ) an algorithm is presented to estimate the prfs based on stochastic dynamic - linear models. ( 4 ) a new algorithm for selecting detecting threshold based on the wavelet theory is presented to the environment when pulse sequences distribute unevenly in the whole sampling time
該演算法的不足是對初始狀態的選取非常重要且運算量較大； （ 3 ）提出基於動態線性模型利用prf進行重頻分選的演算法； （ 4 ）將小波理論應用到重頻分選中，提出了一種新的檢測門限，適用於脈沖列分佈不均勻的信號環境。 -
After that, the author focus his attention on the pure sequential confidence for the error variance in linear models
緊接著，作者把注意力轉移到線性模型誤差方差的純序貫區間估計。 -
Are some unknown measurable function from r to r. we assume that z and u are independent of x, and e = 0 in order to identify the models. the models are called the functional - coefficient partial linear models
為了識別模」 :不妨假設/腳二z ， ）一我們稱這個模型為函數系數部分線性模型（ funetional一eoeffieientpartiallinearmodels ） ?函數系數部分線性模型是一個比較一般的模型。 -
To reduce the computational load, these multiple linear models are then used as prediction equations in an mpc framework
為求減輕計算負荷，在模式預測控制架構中，上述之多重模式即可作為預測方程式來計算程序未來的輸出值。 -
Recently, withthe rapid improvement of performance of digital processor, sequential monte carlo ( smc ) method has a wide range of application in engineering, especially in signal processing, statistics, and econometrics etc. the time varying systems can be stated in the form of a dynamic state space model. for linear models and gaussian noise, the kalman filter provides analytical expressions for posterior filtering
一般的時變系統都可以被看作是一動態狀態空間模型，對于線性高斯模型，卡爾曼濾波可以給出后驗密度函數的解析解；而對于非線性非高斯模型，我們則無法得到它的解析解，在這種情況下則可以使用序列蒙特卡羅方法來對其進行近似。
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