【正文】 目時(shí)，進(jìn)行分組統(tǒng)計(jì) 表示各分組序列內(nèi)的觀測值的個(gè)數(shù)小于指定數(shù)目時(shí)，原分組合并 of bins 表示序列的最大分組數(shù)(autocorrection)自相關(guān)（partial correction）偏相關(guān) and intercept趨勢項(xiàng)和截距項(xiàng) TabulationN維統(tǒng)計(jì)表 specification 方程說明 setting估計(jì)方法選擇（least squares）最小二乘法（twostage least squares）兩階段最小二乘法（autoregressive conditional heteroskedasticity）自回歸條件異方差（generalized method of moments）廣義矩陣法（binary choice）二項(xiàng)選擇模型（ordered choice）有序選擇模型（censored data）刪截模型(integer count data)計(jì)數(shù)模型 方程顯示的三種形式（1 Estimation Command估計(jì)命令 2 EstimationEquation估計(jì)方程3 Substituted Coefficients帶有系數(shù)估計(jì)值的方程式） Output 估計(jì)顯示, Fitted, Residual 真實(shí)的，擬合的，剩余的（殘差的） Residual Graph 標(biāo)準(zhǔn)的殘差折線圖 Matrix 回歸系數(shù)估計(jì)值的方差協(xié)方差折線圖 Text 模型參數(shù)的7種檢驗(yàn) Test 模型殘差的5種檢驗(yàn) test 模型穩(wěn)定性檢驗(yàn) and Derivatives 梯度與導(dǎo)數(shù) Structure Residual Series 生成估計(jì)方程的殘差序列 Regressor Group 顯示方程中所有解釋變量和被解釋變量的序列組 Model 生成方程的估計(jì)式 Coefs from Equation 更新方程的系數(shù)向量標(biāo)準(zhǔn)回歸輸出結(jié)果 回歸系數(shù)（衡量回歸系數(shù)的統(tǒng)計(jì)可靠性）(檢驗(yàn)?zāi)硞€(gè)系數(shù)是否為0)（p值越大，越接受原假設(shè)）（被解釋變量由解釋變量解釋的部分） Rsquared調(diào)整可決系數(shù) regression 回歸的標(biāo)準(zhǔn)誤差（即σ） squared resid殘差平方和 likelihood 對數(shù)似然估計(jì)值（用于進(jìn)行似然比檢驗(yàn)等） stat(序列相關(guān)性進(jìn)行檢驗(yàn)的統(tǒng)計(jì)量) Dependent Var(variable)被解釋變量的均值 Var被解釋變量的標(biāo)準(zhǔn)差 info criterion（AIC）赤池信息準(zhǔn)則 criterion(SC)施瓦茨準(zhǔn)則（兩個(gè)準(zhǔn)則均要求增加的解釋變量能夠減少AIC和SC才在原模型中增加該解釋變量）(檢驗(yàn)回歸方程的顯著性，其原假設(shè)是所有系數(shù)都為0)(FStatistic)F統(tǒng)計(jì)量的伴隨概率.第二篇：中英文翻譯Fundamentals This chapter describes the fundamentals of today’s wireless a detailed description of the radio channel and its modeling are presented, followed by the introduction of the principle of OFDM multicarrier addition, a general overview of the spread spectrum technique, especially DSCDMA, is given and examples of potential applications for OFDM and DSCDMA are introduction is essential for a better understanding of the idea behind the bination of OFDM with the spread spectrum technique, which is briefly introduced in the last part of this Radio Channel Characteristics Understanding the characteristics of the munications medium is crucial for the appropriate selection of transmission system architecture, dimensioning of its ponents, and optimizing system parameters, especially since mobile radio channels are considered to be the most difficult channels, since they suffer from many imperfections like multipath fading, interference, Doppler shift, and choice of system ponents is totally different if, for instance, multipath propagation with long echoes dominates the radio , an accurate channel model describing the behavior of radio wave propagation in different environments such as mobile/fixed and indoor/outdoor is may allow one, through simulations, to estimate and validate the performance of a given transmission scheme in its several design Understanding Radio Channels In mobile radio channels(see Figure 11), the transmitted signal suffers from different effects, which are characterized as follows: Multipath propagation occurs as a consequence of reflections, scattering, and diffraction of the transmitted electromagnetic wave at natural and manmade , at the receiver antenna, a multitude of waves arrives from many different directions with different delays, attenuations, and superposition of these waves results in amplitude and phase variations of the posite received spread is caused by moving objects in the mobile radio in the phases and amplitudes of the arriving waves occur which lead to timevariant multipath small movements on the order of the wavelength may result in a totally different wave varying signal strength due to timevariant multipath propagation is referred to as fast is caused by obstruction of the transmitted waves by, ., hills, buildings, walls, and trees, which results in more or less strong attenuation of the signal to fast fading, longer distances have to be covered to significantly change the shadowing varying signal strength due to shadowing is called slow fading and can be described by a lognormal distribution [36].Path loss indicates how the mean signal power decays with distance between transmitter and free space, the mean signal power decreases with the square of the distance between base station(BS)and terminal station(TS).In a mobile radio channel, where often no line of sight(LOS)path exists, signal power decreases with a power higher than two and is typically in the order of three to of the received power due to shadowing and path loss can be efficiently counteracted by power the following, the mobile radio channel is described with respect to its fast fading Channel Modeling The mobile radio channel can be characterized by the timevariant channel impulse response h(τ , t)or by the timevariant channel transfer function H(f, t), which is the Fourier transform of h(τ , t).The channel impulse response represents the response of the channel at time t due to an impulse applied at time t ? mobile radio channel is assumed to be a widesense stationary random process, ., the channel has a fading statistic that remains constant over short periods of time or small spatial environments with multipath propagation, the channel impulse response is posed of a large number of scattered impulses received over Np different paths，Whereand ap, fD,p, ?p, and τp are the amplitude, the Doppler frequency, the phase, and the propagation delay, respectively, associated with path p, p = 0,..., Np ? assigned channel transfer function isThe delays are measured relative to the first detectable path at the Doppler Frequencydepends on the velocity v of the terminal station, the speed of light c, the carrier frequency fc, and the angle of incidence αp of a wave assigned to path channel impulse response with corresponding channel transfer function is illustrated in Figure delay power density spectrum ρ(τ)that characterizes the frequency selectivity of the mobile radio channel gives the average power of the channel output as a function of the delay mean delay τ , the root mean square(RMS)delay spread τRMS and the maximum delay τmax are characteristic parameters of the delay power density mean delay isWhereFigure