收購價格指數 的英文怎麼說

中文拼音 [shōugòujiàgézhǐshǔ]
收購價格指數 英文
procurement price index
  • 收 : Ⅰ動詞1 （把攤開的或分散的事物聚集、合攏） put away; take in 2 （收取） collect 3 （收割） harvest...
  • 購 : 動詞（買） purchase; buy
  • 價 : 名詞1. （價格） price 2. （價值） value 3. [化學] （化合價） valence
  • 格 : 格象聲詞rattle; gurgle
  • 指 : 指構詞成分。
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 收購 : purchase; buy
  • 價格 : price; tariff
  • 指數 : 1. [經] （比數） index number; index 2. [數學] exponent
  1. For the purpose of these conditions, securities shall include but not be limited to the following investments shares in companies incorporated in any jurisdiction ; debenture stock, loan stock, bonds, notes, certificates of deposit, commercial paper or other debt instruments, including government, public agency, municipal and corporate issues ; warrants to subscribe for the above investments ; depositary receipts or other types of instruments relating to the above investments ; unit trusts, mutual funds and similar schemes established in any jurisdiction, options, whether on any investment herein described, on currencies, precious metals or other assets, or an option on an option ; contracts for the purchase or sale at a pre - agreed price and at a future date of any investment herein described or any currency, precious metal or similar asset ; viii contracts for differences or contracts on indices ; investments which are similar or related to any of the foregoing ; and unless otherwise expressly agreed, documents of title or documents evidencing title to investments previously deposited by the customer with the bank in connection with the provision by the bank of custody of investments and provision of securities services

    此等條件所指的證券包括但不限於以下投資項目i在任何司法管轄權區注冊成立之公司之股份ii包括由政府公共機構市政府及企業所發行的債權股證貸款股額債券票據存款證商業票據或其他債務票據iii以上投資項目之認購權證iv有關上述投資項目之存款收據或其他種類之票據v在任何司法管轄權區成立之單位信託互惠基金及類似計劃vi上述之任何投資項目貨幣貴金屬或其他資產之期權或期權之期權vii按預先協定價格及在將來日期買賣任何此等投資項目或任何貨幣貴金屬或類似資產之合約viii差價合約或指數合約ix類似或有關上述任何一項之投資項目及x除非已另有明確的協定，客戶先前存放在本行之投資項目之所有權文件或可證明該等項目的所有權的其他文件。
  2. The relationship between average income of peasant ( pai ) and average agriculture production value ( apv ), index of purchasing price of farm product ( epp ) and proportion of non - agricultural laborer ( pnl ) is analyzed using the data from yzredbf in 1996 - 2000. result shows that apv is the most consanguineous, and the increasing of pal depends not just on the increasing of ipp

    利用yzremis查得的數據，分析了「九五」期間揚州市農民人均純收入與人均農林牧漁產值、農副產品收購價格指數、非農勞動力比例的關系，結果表明人均農林牧漁產值的影響最大，農民收入的增長已不再單純依靠農副產品收購價格的提高。
  3. They are agricultural productive materials price growth rate, sown area of grain crops growth rate, grain yield per area growth rate -, natural disaster covered grain areas growth rate, net grain import change rate, grain reserve change rate, population growth rate, per income growth rate, city and town population growth rate, food industry production value growth rate, year - end pig number growth rate, medical & pharmaceutical and textile industry production value growth rate, grain marketization degree, inflation rate using the previous year as base year ( preceding year = 100 ), public grain purchases price growth rate, investment in agricultural science and technology growth rate, investment in agricultural infrastructure growth rate, growth rate of graduates number from agriculture, forestry, science & technology universities and colleges and specialized secondary schools, government expenditure for agriculture and agricultural credit growth rate, international grain price growth rate, rmb exchange rate growth rate, last grain price growth rate, economic crop price growth rate, meanwhile, a new method is attempted to be used in this paper and the grain price early - warning problem is transformed into machine learning problem by introducing statistic learning theory and svm method which are gaining popularity in machine learning field at present in the world

    在此基礎上，篩選出23個警兆指標：農用生產資料價格增長率、糧食播種面積增長率、糧食單產增長率、糧食受災面積增長率、糧食凈進口量變化率、糧食儲備變動率、人口增長率、人均收入增長率、城鎮人口增長率、食品工業產值增長率、豬年末頭數增長率、醫藥紡織工業產值增長率、糧食市場化程度、以上年為基年的通貨膨脹率、國家糧食定購價格增長率、農業科技投入增長率、農業基礎設施投入增長率、農、林、科技高校大、中專畢業生人數增長率、財政支農資金比重及農業信貸增長率、國際糧食市場價格增長率、人民幣匯率增長率、上期糧食價格增長率、經濟作物價格增長率。同時論文在預警方法上作了新的嘗試，把糧食價格預警問題轉換成一個機器學習問題，引進當前國際上機器學習領域中比較熱門的統計學習理論和支持向量機方法，用順序回歸演算法對歷史數據進行學習建立了糧食價格預警模型。
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