linear parameter estimation 中文意思是什麼

linear parameter estimation 解釋
線性參數估計
  • linear : adj. 1. 線的，直線的。2. 長度的。3. 【數學】一次的，線性的。4. 【動、植】線狀的；細長的。5. 由線條組成的，以線條為主的，強調線條的。
  • parameter : n. 1. 【數學】參數，變數；參詞；參項。2. 【物理學】參量；（結晶體的）標軸。3. 〈廢語〉【天文學】通徑。vt. -ize 使參數化。
  • estimation : n. 1. 估計，評價。2. 預算，預算額；概算。3. 尊重，尊敬。4. 意見，判斷。5. 【化學】估定；測定。
  1. The least square estimation in linear model is used to derive the two - stage estimation of the item parameter vector 1 of j th item as follows : noting that xj consists of the nuisance parameters s, j, j, were updated so that the estimation of 6 s could be renewed

    修正進而修正x _ j和，從而形成一種新的估計方法?雙重兩步迭代估計蒙特卡洛模擬結果顯示，雙重兩步迭代估計提高了估計對真值的恢復能力。
  2. We make the following assumption for when 2 is positive definite matrix, different estimators about matrix of regression coefficients and inefficiency of least squares estimate have been discussed in many documents. considered 2 is nonnegative definite matrix, this thesis derives best linear unbiased estimate of parameter matrix b and estimable parameter function kbl under the meaning of matrix nonnegative definite and the property of maximum probability of blue is investigated. next, we discuss some necessary and sufficient conditions of the equality of the lse and blue, then we derive the estimation of the deviation bet - ween the least squares and the best linear unbias estimators of the mean matrix, meanwhile a relative efficiency of lse ofb is proposed and its bound is given

    當0時，眾多文獻討論了回歸系數陣的各種估計及lse的有效性，本文考慮了當0的情形，給出了回歸系數陣b及其可估參數函數kbl的在矩陣非負定意義下的最優估計（ blue ） ，研究了它的一個最大概率性質，並且討論了最小二乘估計成為最佳線性無偏估計的充分必要條件，在此基礎上給出了均值矩陣的最小二乘估計與blue的偏差估計，定義了lse相對于blue的一個相對效率，並給出了它的界。
  3. For a general linear model ( input matrix is deterministic ), under a certain conditions on variance matrix invertibility, the two estimates can be identical provided that they have the same priori information on the parameter under estimation. even if the above information is unknown only for the optimally weighted ls estimate, the sufficient condition and necessary condition, under which the two estimates are identical, is derived. more significantly, we know how to design input of the linear system to make the performance of the optimally weighted ls estimation identical to that of the linear minimum variance estimation in case of being lack of prior information

    在一般線性模型（即輸入矩陣為確定性）下，當兩種估計都利用有關被估參數的先驗信息時，二者在方差陣可逆的一定條件下可達到一致；當最優加權最小二乘估計不利用此先驗信息時，存在二者一致的充分條件和必要條件，進而找到一種設計輸入矩陣的方法，使得在先驗信息缺乏的條件下，仍可利用最優加權最小二乘估計達到與線性最小方差估計一樣優越的估計性能。
  4. In this thesis, based on item response theory, a number of ways to estimate the latent trait and item parameters were introduced and their advantages and disadvantages were analyzed ; what is more, empirical logistic regression and two parameters logistic model ( 2plm ) are combined to set up a linear model by logit - mapping and a new parameter - estimation method is proposed

    新方法將經驗logistic回歸用於兩參數logistic模型的參數估計，使用logit變換建立線性模型，利用線性模型的最小二乘估計得到第j個項目的項目參數向量_ j = （ _ j ， _ j ）的兩步估計由於x _ j含有未知的討厭參數，的理論值也和有關，我們結合上式的結果對進行再估計。
  5. In the second chapter, basic theory about the mathematical statistics and the structural reliability in this paper. such as parameter estimation types of statistics distribution tests of distribution hypothesis methods of linear - second order moment, ect

    數理統計學原理主要包括：參數估計、統計分佈類型、分佈擬合檢驗；工程結構可靠度理論主要介紹了一次二階矩方法。
  6. We write the program which used for fighting errors in absolute positioning. we also write the program which used for linear combinating in absolute positioning. from analyzing for the measurement of outer, we can conclude that we can use m estimation to estimate parameter in gps absolute positioning. lt has application value. using it, we can obstain the stable positioning result and remove the outer. in this paper, we calculate the data which from the baseline space of the gps calibration space. we also draw some conclusion using broadcast ephemeredes and smoothing pseudoranges. the positionging precision is in 1 - 2 meter

    編制了gps絕對定位中抗差估計程序和應用線性組合進行單點定位的程序。通過對粗差量級的分析，得出在gps觀測量存在粗差時， m估計是有其應用價值的，它使定位結果較為穩定，減弱和剔除了粗差的影響。應用線性組合程序對gps綜合檢定場數據基線網點進行計算，得出用廣播星歷和平滑后的偽距可以給出較好的結果，點位精度在1 ? 2米。
  7. This thesis mainly considers ordinary linear regression model and generalized one, that is, models and are involved. in term of the unknown parameter, it is necessary to study its estimation

    論文主要針對一般線性回歸模型和廣義線性回歸模型，即： ，和，其中，為向量，為設計矩陣，且，為向量，為向量，是已知的正定陣。
  8. Secondly, in foundation described basic theories model of the panel data analysis, the article built up the general block linear model expression form of panel data analysismodel. deduced parameter estimation and hypothesis test statistic and its probabilitydistribution

    其次在敘述面板數據分析基本理論模型的基礎上，建立了面板數據分析模型的一般分塊線性模型的表達形式，並推導了參數估計量和假設檢驗統計量。
  9. Some linear approaches reported recently without postprocessing to fir system identification are discussed. this paper improves the question of the promulgation of error due to estimating middle parameter frequently in other related methods, and presents a direct algorithm of estimating parameter without estimating middle coefficient. through proper mathematic means, for example, singular value decomposition ( svd ) or total - least squares solution ( tls ), this algorithm smoothes the noise and improves effectively the estimation performance

    和2階統計量相比，高階統計量不僅能夠有效抑制高斯有色噪聲的影響，而且能夠揭示隨機過程的相位特性，因此，高階統計量是解決非高斯、非最小相位、非因果系統和有色高斯噪聲環境的系統辨識和處理問題的重要分析工具。
  10. This makes wide - band digital receiver become a certain trend in the detecting and intercepting of radar signals field. in this dissertation, the parameter estimation algorithms for the monopulse signal, the linear frequency modulation signal and the phase coded signal are studied. according to the algorithms, a hardware platform is set up and tested using tms320c6713b mainly

    本文對單脈沖信號、線性調頻信號和相位編碼信號這三種常見的雷達信號的參數估計演算法作了研究和驗證，並根據這些演算法要求，立足於當前數字信號處理晶元（ dsp ）的發展，基於tms320c6713b構建了一個信號參數估計的硬體平臺。
  11. Firstly, the observability of linear and nonlinear systems and the basis of parameter estimation are discussed. particularly, the observability of single station bearings - only passive locating systems was analyzed and the influence of the moving state parameters of observer and target on the system locating accuracy is also researched. based on that, the conclusion about the relationship between different moving state parameter and locating accuracy is made

    主要工作如下: （一）討論了線性和非線性系統的可觀測性以及參數估計的基本方法，深入分析了單站只測角無源定位系統的可觀測性，研究了系統和目標的運動狀態參數對系統定位精度的影響，得出了不同狀態參數與定位精度的定性或定量的對應關系。
  12. Adjust weighted ls estimation for the parameter in the varying coefficients linear ev model

    模型參數的調整加權最小二乘估計及其漸近性質
  13. Although the estimation algorithm is carried out by parity check code, but it is also applicable in general linear block codes to estimate the channel ’ s parameter

    本文演算法不僅可以利用偶校驗碼的碼結構去估計通道參數，而且對於一般的線性分組碼也適用。
  14. Based on linear and quasi - linear method, this paper provides a non - linear inductance model of srm. the coefficients of the model are gained with least square parameter estimation

    本文在sr電機線性模型和準線性模型基礎上給出了一種sr電機的非線性電感模型，採用最小二乘參數估計法給出了該解析表達式的各項系數。
  15. Some notes on parameter estimation in a class of linear models with an error vector having multivariate t distribution

    分佈的一類線性模型下參數估計的若干注記
  16. Panel data model is an important linear model in economics, finance, biology, medicines and other fields. in recent twenty years, statistical in - ferrence about this model attracts many statisticians. in this paper, we first generalize the latest development of parameter estimation in this field, then focus on parameter estimation in the panel model with individual effect and time effect. many articles researched the parameter estimation of the regression coefficents in the case that both individual effect and time effect are random, but in some conditions, it is more reasonable if we suppose either of them is fixed. this paper is based on this hypothesis to research the estimations of the coefficents. the variance - covariance matrix still include parameter of variance in this condition, so our purpose is to look for feasible estimations

    Panel數據模型是一類具有重要應用的線性統計模型，它在經濟、金融、生物、醫學等領域都有廣泛的應用。近二十余年來，關于這種模型的統計推斷吸引了很多統計學家。本文首先概述了這一領域參數估計方面的最新發展，然後集中討論了既含有個體效應，又有時間效應的panel數據模型的參數估計。
  17. The main results are as follows : according to the approximate multicollinearity of matrix, the third chapter constrains the regression coefficient and obtains generalized ridge estimation of the linear model ' s parameter under the ellipsoidal restriction

    主要結果如下：論文第三章從設計矩陣的多重共線性角度出發，考慮回歸系數的橢球約束，獲得了橢球約束下線性模型參數的一種新型估計- -廣義嶺型估計。
  18. Admissibility of linear estimation of multivariate linear model with respect to a restricted parameter set

    帶有不完全橢球約束的多元線性模型中線性估計的可容許性
  19. Using lyapunov functional and linear matrix inequality ( lmi ) technique, and through the stability of subsystems decoupled in a single direction, we obtain an estimation formula of parameter ' s stability domain

    再利用標量lyapnov泛函和線性矩陣不等式技術，由單向解耦子系統的穩定性得到線性時滯大系統和非線性大系統參數穩定域的估計公式。
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